An Example of Artificial Neural Network (ANN) Application for Indirect Estimation of Rock Parameters

Construction of an artificial neural network model for predicting the modulus of elasticity and unconned compressive strength is presented. Among other things, data found that the neural network is a sound approach for minimizing the uncertainties in soil engineering projects.

Saved in:
Bibliographic Details
Published inRock mechanics and rock engineering Vol. 41; no. 5; pp. 781 - 795
Main Authors Yılmaz, I., Yuksek, A. G.
Format Journal Article
LanguageEnglish
Published Vienna Springer-Verlag 01.10.2008
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Construction of an artificial neural network model for predicting the modulus of elasticity and unconned compressive strength is presented. Among other things, data found that the neural network is a sound approach for minimizing the uncertainties in soil engineering projects.
AbstractList Construction of an artificial neural network model for predicting the modulus of elasticity and unconned compressive strength is presented. Among other things, data found that the neural network is a sound approach for minimizing the uncertainties in soil engineering projects.
Author Yuksek, A. G.
Yılmaz, I.
Author_xml – sequence: 1
  givenname: I.
  surname: Yılmaz
  fullname: Yılmaz, I.
  organization: Division of Applied Geology, Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University
– sequence: 2
  givenname: A. G.
  surname: Yuksek
  fullname: Yuksek, A. G.
  organization: Department of Computer Technology, Vocational School of Sivas, Cumhuriyet University
BookMark eNp1kFFLwzAUhYNMcJv-AN-CD6IP1ZumSdvHMqYOxhRR8C1kaSLduqYmLeq_N7OCIPh0D_d-55CcCRo1ttEInRK4IgDptQfgQKMgIyA0i9IDNCYJTaKE0ZcRGkMa0yjmND5CE-83AOGYZmNUFg2ef8hdW2tsDS5cV5lKVbLGK92779G9W7fFF8VqdYmLtq0rJbvKNthYhxdNWTmtOjz3XbUb9iHm0aotfpBO7nSnnT9Gh0bWXp_8zCl6vpk_ze6i5f3tYlYsI0l53kVE6bU0aUJik-aZYiljlAKPgZkSeMklo4yoBGgOKg_asDU3knCTl6yMQdEpOh9yW2ffeu07sau80nUtG217LyhPIE94EsCzP-DG9q4JbxMx8FBkltEAkQFSznrvtBGtC390n4KA2JcuhtLFXu5LF2nwxIPHB7Z51e43-H_TF8-DhKM
CitedBy_id crossref_primary_10_1007_s00500_018_3253_3
crossref_primary_10_1016_j_gsf_2020_05_003
crossref_primary_10_13168_AGG_2020_0027
crossref_primary_10_1007_s10064_018_1349_8
crossref_primary_10_1016_j_measurement_2023_113774
crossref_primary_10_1016_j_scient_2012_02_008
crossref_primary_10_3389_fmats_2020_568870
crossref_primary_10_1016_j_advengsoft_2012_11_001
crossref_primary_10_3390_app12178468
crossref_primary_10_1016_j_ijrmms_2012_10_002
crossref_primary_10_1177_09574565221093258
crossref_primary_10_1007_s10064_018_1326_2
crossref_primary_10_1007_s12517_022_09671_6
crossref_primary_10_1007_s00521_019_04418_z
crossref_primary_10_1007_s00366_015_0410_5
crossref_primary_10_1007_s00521_012_1302_x
crossref_primary_10_1016_j_jrmge_2022_01_008
crossref_primary_10_1007_s40808_021_01238_w
crossref_primary_10_1007_s00704_023_04386_4
crossref_primary_10_1007_s10064_017_1043_2
crossref_primary_10_1007_s12517_017_3167_x
crossref_primary_10_3390_math11071650
crossref_primary_10_1007_s10064_018_1405_4
crossref_primary_10_1007_s12517_015_2057_3
crossref_primary_10_1016_j_physa_2019_124046
crossref_primary_10_1007_s10064_009_0185_2
crossref_primary_10_1016_j_enggeo_2018_03_009
crossref_primary_10_1007_s00366_015_0429_7
crossref_primary_10_1016_S1674_5264_09_60158_7
crossref_primary_10_1002_fsn3_1365
crossref_primary_10_1007_s00521_011_0535_4
crossref_primary_10_1016_j_measurement_2014_09_075
crossref_primary_10_54569_aair_1016850
crossref_primary_10_3390_min12121506
crossref_primary_10_1007_s00603_021_02549_1
crossref_primary_10_1016_j_jrmge_2017_05_002
crossref_primary_10_1002_nag_1066
crossref_primary_10_1016_j_ijrmms_2020_104539
crossref_primary_10_3233_JGS_170047
crossref_primary_10_1007_s12517_020_5273_4
crossref_primary_10_1016_j_clay_2009_01_020
crossref_primary_10_1007_s40033_014_0048_2
crossref_primary_10_1016_j_advengsoft_2023_103515
crossref_primary_10_1007_s41062_020_00346_3
crossref_primary_10_1016_j_ijrmms_2009_04_009
crossref_primary_10_1016_j_trgeo_2021_100680
crossref_primary_10_1051_e3sconf_201912901018
crossref_primary_10_1016_j_petrol_2019_02_045
crossref_primary_10_1016_j_ijrmms_2015_09_015
crossref_primary_10_1007_s12145_021_00736_w
crossref_primary_10_1061__ASCE_GM_1943_5622_0000757
crossref_primary_10_1016_j_eswa_2010_11_027
crossref_primary_10_1080_14484846_2024_2339025
crossref_primary_10_1007_s00521_019_04101_3
crossref_primary_10_1007_s00603_011_0160_7
crossref_primary_10_1007_s10064_016_0983_2
crossref_primary_10_1007_s00603_020_02184_2
crossref_primary_10_1007_s12145_019_00381_4
crossref_primary_10_1016_j_measurement_2018_05_080
crossref_primary_10_1007_s00603_022_02992_8
crossref_primary_10_1016_j_cageo_2012_09_003
crossref_primary_10_1007_s12040_013_0281_3
crossref_primary_10_1109_ACCESS_2020_2980623
crossref_primary_10_1007_s11629_020_6331_9
crossref_primary_10_1007_s00521_022_07214_4
crossref_primary_10_1016_j_ijrmms_2019_104094
crossref_primary_10_1016_j_tust_2024_105905
crossref_primary_10_1007_s10064_017_1210_5
crossref_primary_10_1155_2019_3182736
crossref_primary_10_1007_s00366_018_0596_4
crossref_primary_10_1061__ASCE_GM_1943_5622_0001322
crossref_primary_10_5604_01_3001_0016_0755
crossref_primary_10_3390_app122010258
crossref_primary_10_1016_j_still_2015_11_004
crossref_primary_10_1016_j_tust_2014_07_003
crossref_primary_10_1016_j_trgeo_2022_100756
crossref_primary_10_1007_s00603_012_0239_9
crossref_primary_10_1007_s11771_021_4654_5
crossref_primary_10_1007_s12517_020_05566_6
crossref_primary_10_1007_s10706_021_01731_0
crossref_primary_10_1080_17486025_2019_1641631
crossref_primary_10_1007_s10661_021_09335_0
crossref_primary_10_1115_1_4052412
crossref_primary_10_1002_nag_3502
crossref_primary_10_1007_s13202_021_01302_2
crossref_primary_10_1007_s00603_011_0169_y
crossref_primary_10_1007_s00521_012_0925_2
crossref_primary_10_2174_1874836802014010237
crossref_primary_10_1007_s00603_021_02748_w
crossref_primary_10_1016_j_enggeo_2015_10_008
crossref_primary_10_5802_crmeca_109
crossref_primary_10_1007_s00603_022_02836_5
crossref_primary_10_1144_qjegh2014_094
crossref_primary_10_3390_min12060731
crossref_primary_10_1007_s00366_021_01358_y
crossref_primary_10_1016_j_petrol_2021_110033
crossref_primary_10_1016_j_ijrmms_2010_03_003
crossref_primary_10_1080_17499518_2016_1207784
crossref_primary_10_1002_nag_2982
crossref_primary_10_1016_j_ijrmms_2016_03_018
crossref_primary_10_1016_j_ultras_2024_107347
crossref_primary_10_3390_app11115207
crossref_primary_10_1007_s00603_023_03353_9
crossref_primary_10_1016_j_petrol_2014_09_002
crossref_primary_10_1007_s40098_014_0116_4
crossref_primary_10_1260_0144_5987_29_4_479
crossref_primary_10_1007_s11440_014_0316_1
crossref_primary_10_3390_math10234523
crossref_primary_10_1016_j_measurement_2015_11_025
crossref_primary_10_1016_j_measurement_2018_07_047
crossref_primary_10_1007_s12517_018_3929_0
crossref_primary_10_1016_j_ijrmms_2008_09_002
crossref_primary_10_3390_su11195283
crossref_primary_10_1007_s00521_015_1943_7
crossref_primary_10_1016_j_trgeo_2020_100499
crossref_primary_10_1080_17486025_2021_1940312
crossref_primary_10_1007_s12517_019_4307_2
crossref_primary_10_1080_14488353_2022_2146274
crossref_primary_10_3390_app10072261
crossref_primary_10_1109_ACCESS_2022_3181718
crossref_primary_10_1007_s00521_017_3141_2
crossref_primary_10_1007_s12665_009_0394_9
crossref_primary_10_1007_s10706_021_01772_5
crossref_primary_10_1016_j_engappai_2021_104317
crossref_primary_10_1007_s10064_017_1209_y
crossref_primary_10_1088_1755_1315_189_2_022054
crossref_primary_10_1016_j_conbuildmat_2024_137227
crossref_primary_10_1088_1755_1315_189_2_022055
crossref_primary_10_1016_j_ijrmms_2014_01_015
crossref_primary_10_1080_17486025_2012_661469
crossref_primary_10_1007_s00477_014_0848_9
crossref_primary_10_1007_s10064_016_0861_y
crossref_primary_10_1007_s10064_008_0133_6
crossref_primary_10_1016_j_compgeo_2023_105965
crossref_primary_10_1016_j_asoc_2021_107643
crossref_primary_10_1016_j_measurement_2014_06_001
crossref_primary_10_1007_s00603_022_03046_9
crossref_primary_10_1016_j_jrmge_2019_08_001
crossref_primary_10_1149_1945_7111_ac201d
crossref_primary_10_1007_s10706_017_0281_1
crossref_primary_10_1007_s12665_021_09738_9
crossref_primary_10_1007_s00603_017_1197_z
crossref_primary_10_1007_s40033_015_0067_7
crossref_primary_10_1016_j_sciaf_2023_e01715
crossref_primary_10_1007_s12665_009_0191_5
crossref_primary_10_1016_j_uclim_2021_100914
crossref_primary_10_1016_j_enggeo_2012_06_005
crossref_primary_10_1016_j_fuel_2022_123282
crossref_primary_10_1016_j_cscm_2023_e02191
crossref_primary_10_2478_s11600_008_0073_3
crossref_primary_10_1007_s42729_021_00517_w
crossref_primary_10_1016_j_rser_2018_05_060
crossref_primary_10_1016_j_tust_2018_07_030
crossref_primary_10_1016_j_cageo_2010_09_002
crossref_primary_10_1016_j_petrol_2018_12_013
crossref_primary_10_1080_19392699_2010_534683
crossref_primary_10_1155_2021_8409621
crossref_primary_10_12989_gae_2009_1_4_307
crossref_primary_10_1142_S1469026816500139
crossref_primary_10_1007_s40808_021_01103_w
crossref_primary_10_1007_s00521_016_2728_3
crossref_primary_10_1016_j_petrol_2017_10_085
crossref_primary_10_1007_s10706_019_01155_x
crossref_primary_10_1007_s11269_021_02961_w
crossref_primary_10_1016_j_ijrmms_2016_09_005
crossref_primary_10_1061__ASCE_GM_1943_5622_0001999
crossref_primary_10_1016_j_flowmeasinst_2021_101914
crossref_primary_10_1016_j_ijrmms_2009_09_002
crossref_primary_10_1007_s10064_010_0301_3
crossref_primary_10_3390_ma15196899
crossref_primary_10_1016_j_apsoil_2017_02_011
crossref_primary_10_1007_s13369_014_0960_7
crossref_primary_10_1016_j_engfailanal_2024_107998
crossref_primary_10_1007_s12517_022_11157_4
crossref_primary_10_1007_s10064_016_0931_1
crossref_primary_10_1007_s10706_017_0334_5
crossref_primary_10_1007_s40098_023_00786_5
crossref_primary_10_1007_s11269_022_03165_6
crossref_primary_10_1007_s11356_013_2315_4
crossref_primary_10_59313_jsr_a_1239780
crossref_primary_10_1007_s10064_014_0638_0
crossref_primary_10_1080_17499518_2019_1658881
crossref_primary_10_1061__ASCE_GM_1943_5622_0000380
crossref_primary_10_1080_17499518_2020_1728559
crossref_primary_10_4028_www_scientific_net_AMR_1010_1012_1544
crossref_primary_10_1007_s10064_015_0786_x
crossref_primary_10_1007_s12665_012_1783_z
crossref_primary_10_1016_j_conbuildmat_2013_05_109
crossref_primary_10_3390_app13042217
crossref_primary_10_1007_s12517_012_0703_6
Cites_doi 10.1016/0148-9062(85)92327-7
10.1007/s00254-005-1234-1
10.1016/S0013-7952(01)00101-6
10.1016/S0920-4105(00)00096-6
10.1023/A:1008969726200
10.1007/BF01261801
10.1007/s002540050125
10.1016/S0013-7952(00)00031-4
10.1016/0148-9062(72)90001-0
10.1016/S0148-9062(99)00007-8
10.1016/S0013-7952(02)00023-6
10.1007/BF02594977
10.1016/S0013-7952(02)00041-8
10.1016/0148-9062(72)90030-7
10.7551/mitpress/5236.001.0001
10.1130/REG10-p121
ContentType Journal Article
Copyright Springer-Verlag 2007
Springer-Verlag 2008
Copyright_xml – notice: Springer-Verlag 2007
– notice: Springer-Verlag 2008
DBID AAYXX
CITATION
3V.
7TN
7UA
7XB
88I
8FD
8FE
8FG
8FK
ABJCF
ABUWG
AFKRA
AZQEC
BENPR
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
DWQXO
F1W
FR3
GNUQQ
H96
HCIFZ
KR7
L.G
L6V
M2P
M7S
PCBAR
PQEST
PQQKQ
PQUKI
PTHSS
Q9U
DOI 10.1007/s00603-007-0138-7
DatabaseName CrossRef
ProQuest Central (Corporate)
Oceanic Abstracts
Water Resources Abstracts
ProQuest Central (purchase pre-March 2016)
Science Database (Alumni Edition)
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central
ProQuest Central Essentials
ProQuest Central
Technology Collection
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central Korea
ASFA: Aquatic Sciences and Fisheries Abstracts
Engineering Research Database
ProQuest Central Student
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
SciTech Premium Collection
Civil Engineering Abstracts
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest Engineering Collection
Science Database
Engineering Database
Earth, Atmospheric & Aquatic Science Database
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
Engineering Collection
ProQuest Central Basic
DatabaseTitle CrossRef
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest Central Student
Technology Collection
Technology Research Database
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
Water Resources Abstracts
Environmental Sciences and Pollution Management
ProQuest Central
Earth, Atmospheric & Aquatic Science Collection
ProQuest Engineering Collection
Oceanic Abstracts
Natural Science Collection
ProQuest Central Korea
Engineering Collection
Civil Engineering Abstracts
Engineering Database
ProQuest Science Journals (Alumni Edition)
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
ProQuest Technology Collection
ProQuest SciTech Collection
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest One Academic UKI Edition
ASFA: Aquatic Sciences and Fisheries Abstracts
Materials Science & Engineering Collection
Engineering Research Database
ProQuest One Academic
ProQuest Central (Alumni)
DatabaseTitleList Aquatic Science & Fisheries Abstracts (ASFA) Professional
Database_xml – sequence: 1
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Geology
Engineering
EISSN 1434-453X
EndPage 795
ExternalDocumentID 1897111351
10_1007_s00603_007_0138_7
Genre Feature
GroupedDBID -5A
-5G
-5~
-BR
-EM
-Y2
-~C
.86
.VR
06D
0R~
0VY
123
1N0
1SB
2.D
203
28-
29P
2J2
2JN
2JY
2KG
2KM
2LR
2P1
2VQ
2~H
30V
3V.
4.4
406
408
409
40D
40E
5QI
5VS
67M
67Z
6NX
78A
88I
8FE
8FG
8FH
8TC
95-
95.
95~
96X
AAAVM
AABHQ
AABYN
AAFGU
AAHNG
AAIAL
AAJKR
AAMRO
AANZL
AAPBV
AARHV
AARTL
AATNV
AATVU
AAUYE
AAWCG
AAYFA
AAYIU
AAYQN
AAYTO
AAZAB
ABBBX
ABBXA
ABDZT
ABECU
ABEOS
ABFGW
ABFTD
ABFTV
ABHLI
ABHQN
ABJCF
ABJNI
ABJOX
ABKAS
ABKCH
ABKTR
ABMNI
ABMQK
ABNWP
ABPTK
ABQBU
ABSXP
ABTAH
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABUWG
ABWNU
ABXPI
ACBMV
ACBRV
ACBXY
ACBYP
ACGFS
ACGOD
ACHSB
ACHXU
ACIGE
ACIPQ
ACIWK
ACKIV
ACKNC
ACMDZ
ACMLO
ACOKC
ACOMO
ACTTH
ACVWB
ACWMK
ADHHG
ADHIR
ADIMF
ADINQ
ADKNI
ADKPE
ADMDM
ADOXG
ADRFC
ADTPH
ADURQ
ADYFF
ADZKW
AEBTG
AEEQQ
AEFIE
AEFTE
AEGAL
AEGNC
AEJHL
AEJRE
AEKMD
AENEX
AEOHA
AEPYU
AESKC
AESTI
AETLH
AEVLU
AEVTX
AEXYK
AFEXP
AFFNX
AFGCZ
AFKRA
AFLOW
AFNRJ
AFQWF
AFRAH
AFWTZ
AFZKB
AGAYW
AGDGC
AGGBP
AGGDS
AGJBK
AGMZJ
AGQMX
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHSBF
AHYZX
AIAKS
AIIXL
AILAN
AIMYW
AITGF
AJBLW
AJDOV
AJRNO
AJZVZ
AKQUC
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMXSW
AMYLF
AMYQR
AOCGG
ARMRJ
ASPBG
AVWKF
AXYYD
AYJHY
AZFZN
AZQEC
B-.
BA0
BBWZM
BDATZ
BENPR
BGLVJ
BGNMA
BHPHI
BKSAR
BPHCQ
CAG
CCPQU
COF
CS3
CSCUP
DDRTE
DL5
DNIVK
DPUIP
DU5
DWQXO
EBLON
EBS
EIOEI
EJD
ESBYG
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FWDCC
GGCAI
GGRSB
GJIRD
GNUQQ
GNWQR
GQ6
GQ7
GQ8
GXS
HCIFZ
HF~
HG5
HG6
HMJXF
HQYDN
HRMNR
HVGLF
HZ~
I-F
I09
IHE
IJ-
IKXTQ
ITM
IWAJR
IXC
IZIGR
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
JCJTX
JZLTJ
KDC
KOV
KOW
L6V
L8X
LAS
LK5
LLZTM
M2P
M4Y
M7R
M7S
MA-
MK~
MM-
N2Q
N9A
NB0
NDZJH
NPVJJ
NQJWS
NU0
O9-
O93
O9G
O9I
O9J
OAM
P19
P2P
PCBAR
PF0
PQQKQ
PROAC
PT4
PT5
PTHSS
Q2X
QOK
QOS
R4E
R89
R9I
RHV
RIG
RNI
ROL
RPX
RSV
RZK
S16
S1Z
S26
S27
S28
S3B
SAP
SCK
SCLPG
SDH
SDM
SEV
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
STPWE
SZN
T13
T16
TN5
TSG
TSK
TSV
TUC
U2A
UG4
UNUBA
UOJIU
UTJUX
UZXMN
VC2
VFIZW
W23
W48
WH7
WK6
WK8
Y6R
YLTOR
Z45
Z5O
Z7R
Z7V
Z7X
Z7Y
Z7Z
Z81
Z85
Z86
Z88
Z8M
Z8P
Z8S
Z8T
Z8U
Z8Z
Z92
ZMTXR
ZY4
~02
~EX
AACDK
AAEOY
AAJBT
AASML
AAYXX
ABAKF
ACAOD
ACDTI
ACZOJ
AEFQL
AEMSY
AFBBN
AGQEE
AGRTI
AIGIU
CITATION
H13
7TN
7UA
7XB
8FD
8FK
C1K
F1W
FR3
H96
KR7
L.G
PQEST
PQUKI
Q9U
AAYZH
ID FETCH-LOGICAL-a369t-1cebaf7412f798c57553306205fd06d6a5351c40390c9535f5b6fa16f9d5d20c3
IEDL.DBID AGYKE
ISSN 0723-2632
IngestDate Fri Oct 25 05:07:40 EDT 2024
Thu Oct 10 21:04:00 EDT 2024
Thu Sep 12 19:20:41 EDT 2024
Sat Dec 16 12:01:30 EST 2023
IsPeerReviewed true
IsScholarly true
Issue 5
Keywords Keywords: Artificial neural network, multiple regression, gypsum, elasticity modulus, unconfined compressive strength
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-a369t-1cebaf7412f798c57553306205fd06d6a5351c40390c9535f5b6fa16f9d5d20c3
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
PQID 206603883
PQPubID 60272
PageCount 15
ParticipantIDs proquest_miscellaneous_36409464
proquest_journals_206603883
crossref_primary_10_1007_s00603_007_0138_7
springer_journals_10_1007_s00603_007_0138_7
PublicationCentury 2000
PublicationDate 2008-10-01
PublicationDateYYYYMMDD 2008-10-01
PublicationDate_xml – month: 10
  year: 2008
  text: 2008-10-01
  day: 01
PublicationDecade 2000
PublicationPlace Vienna
PublicationPlace_xml – name: Vienna
– name: Wien
PublicationTitle Rock mechanics and rock engineering
PublicationTitleAbbrev Rock Mech Rock Eng
PublicationYear 2008
Publisher Springer-Verlag
Springer Nature B.V
Publisher_xml – name: Springer-Verlag
– name: Springer Nature B.V
References Singh, Kanchan, Verma, Singh (CR24) 2003; 5
Schmidt (CR23) 1951; 59
CR19
CR13
CR12
Dhakal, Yoneda, Kato, Kaneko (CR6) 2002; 65
Rumelhart, Hinton, Williams, Rumelhart, McClelland (CR21) 1986
Dick, Shakoor (CR7) 1995; X
Gokceoglu (CR11) 2002; 66
CR2
Simpson (CR25) 1990
Barton, Choubey (CR3) 1977; 10
CR5
Yılmaz, Sendir (CR26) 2002; 666
Broch, Franklin (CR4) 1972; 9
Finol, Guo, Jing (CR8) 2001; 29
Kurtman (CR18) 1973; 80
Alvarez Grima, Babuska (CR1) 1999; 36
Karacan, Yılmaz (CR16) 2000; 18
Yılmaz, Karacan (CR27) 2005; 47
Rumelhart, McClelland (CR22) 1986
Gokceoglu, Ulusay, Sonmez (CR10) 2000; 57
Franklin, Chandra (CR9) 1972; 9
Karacan, Yılmaz (CR15) 1997; 29
Kolaiti, Papadopoulus (CR17) 1993; 48
Rodrigues (CR20) 1991; 200
(CR14) 1985; 22
138_CR19
J. D. Rodrigues (138_CR20) 1991; 200
ISRM (138_CR14) 1985; 22
E. Karacan (138_CR16) 2000; 18
T. N. Singh (138_CR24) 2003; 5
I. Yılmaz (138_CR27) 2005; 47
C. Gokceoglu (138_CR10) 2000; 57
J. A. Franklin (138_CR9) 1972; 9
N. Barton (138_CR3) 1977; 10
D. Rumelhart (138_CR22) 1986
138_CR2
E. Broch (138_CR4) 1972; 9
138_CR5
F. Kurtman (138_CR18) 1973; 80
G. Dhakal (138_CR6) 2002; 65
P. K. Simpson (138_CR25) 1990
E. Kolaiti (138_CR17) 1993; 48
E. Karacan (138_CR15) 1997; 29
C. Gokceoglu (138_CR11) 2002; 66
J. C. Dick (138_CR7) 1995; X
I. Yılmaz (138_CR26) 2002; 666
D. D. Rumelhart (138_CR21) 1986
M. Alvarez Grima (138_CR1) 1999; 36
J. Finol (138_CR8) 2001; 29
138_CR12
E. Schmidt (138_CR23) 1951; 59
138_CR13
References_xml – start-page: 318
  year: 1986
  end-page: 362
  ident: CR21
  article-title: Learning internal representations by error propagation
  publication-title: Parallel distributed processing: Explorations in the microstructure of cognition
  contributor:
    fullname: McClelland
– volume: 22
  start-page: 51
  issue: 2
  year: 1985
  end-page: 60
  ident: CR14
  article-title: Suggested methods for determining point load strength
  publication-title: Int. J. Rock Mech. Min. Sci. Geomech. Abst.
  doi: 10.1016/0148-9062(85)92327-7
– year: 1990
  ident: CR25
  publication-title: Artificial neural system-foundation, paradigm, application and implementation
  contributor:
    fullname: Simpson
– ident: CR2
– ident: CR12
– volume: 47
  start-page: 1010
  year: 2005
  end-page: 1016
  ident: CR27
  article-title: Slaking durability and its effect on the doline formation in the gypsum
  publication-title: Env. Geol.
  doi: 10.1007/s00254-005-1234-1
  contributor:
    fullname: Karacan
– volume: 65
  start-page: 31
  year: 2002
  end-page: 45
  ident: CR6
  article-title: Slake durability and mineralogical properties of some pyroclastic and sedimentary rocks
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(01)00101-6
  contributor:
    fullname: Kaneko
– volume: 29
  start-page: 97
  year: 2001
  end-page: 113
  ident: CR8
  article-title: A rule based fuzzy model for the prediction of petrophysical rock parameters
  publication-title: L. Petr. Sci. Eng.
  doi: 10.1016/S0920-4105(00)00096-6
  contributor:
    fullname: Jing
– volume: 200
  start-page: 7
  year: 1991
  end-page: 34
  ident: CR20
  article-title: Physical characterization and assessment of rock durability through index properties
  publication-title: NATO ASI Ser E. Applied Sci.
  contributor:
    fullname: Rodrigues
– volume: 18
  start-page: 79
  issue: 2
  year: 2000
  end-page: 90
  ident: CR16
  article-title: Geotechnical evaluation of Miocene gypsum from Sivas (Turkey)
  publication-title: Geotech. Geol. Eng.
  doi: 10.1023/A:1008969726200
  contributor:
    fullname: Yılmaz
– volume: 10
  start-page: 1
  year: 1977
  end-page: 54
  ident: CR3
  article-title: The shear strength of rock joints in theory and practice
  publication-title: Rock Mech.
  doi: 10.1007/BF01261801
  contributor:
    fullname: Choubey
– volume: X
  start-page: 121
  year: 1995
  end-page: 130
  ident: CR7
  article-title: Characterizing durability of mudrocks for slope stability purposes
  publication-title: Geol. Soc. Am. Rev. Eng. Geol.
  contributor:
    fullname: Shakoor
– volume: 59
  start-page: 34
  issue: 8
  year: 1951
  end-page: 35
  ident: CR23
  article-title: A non-destructive concrete tester
  publication-title: Concrete
  contributor:
    fullname: Schmidt
– volume: 29
  start-page: 263
  issue: 3–4
  year: 1997
  end-page: 266
  ident: CR15
  article-title: Collapse dolines in the Miocene gypsum: an example from SW Sivas (Turkey)
  publication-title: Env. Geol.
  doi: 10.1007/s002540050125
  contributor:
    fullname: Yılmaz
– volume: 57
  start-page: 215
  issue: 3–4
  year: 2000
  end-page: 237
  ident: CR10
  article-title: Factors affecting durability of selected weak and clay bearing rocks from Turkey, with particular emphasis on the influence of the number of drying and wetting cycles
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(00)00031-4
  contributor:
    fullname: Sonmez
– ident: CR19
– volume: 9
  start-page: 325
  year: 1972
  end-page: 341
  ident: CR9
  article-title: The slake durability test
  publication-title: Int. J. Rock Mech. Min. Sci. Geomech. Abstr.
  doi: 10.1016/0148-9062(72)90001-0
  contributor:
    fullname: Chandra
– volume: 36
  start-page: 339
  year: 1999
  end-page: 349
  ident: CR1
  article-title: Fuzzy model for the prediction of unconfined compressive strength of rock samples
  publication-title: Int. J. Rock. Mech. Min. Sci.
  doi: 10.1016/S0148-9062(99)00007-8
  contributor:
    fullname: Babuska
– ident: CR13
– volume: 66
  start-page: 39
  year: 2002
  end-page: 51
  ident: CR11
  article-title: A fuzzy triangular chart to predict the uniaxial compressive strength of Ankara agglomerates from their petrographic composition
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(02)00023-6
  contributor:
    fullname: Gokceoglu
– volume: 48
  start-page: 69
  year: 1993
  end-page: 76
  ident: CR17
  article-title: Evaluation of Schmidt rebound hammer testing: a critical approach
  publication-title: Bull. Int. Assoc. Eng. Geol. IAEG
  doi: 10.1007/BF02594977
  contributor:
    fullname: Papadopoulus
– volume: 80
  start-page: 1
  year: 1973
  end-page: 32
  ident: CR18
  article-title: Sivas-Hafik-Zara ve İmranlı bölgesinin jeolojik ve tektonik yapısı
  publication-title: M.T.A. Dergisi
  contributor:
    fullname: Kurtman
– year: 1986
  ident: CR22
  publication-title: Parallel distributed processing: explorations in the microstructure of cognition
  contributor:
    fullname: McClelland
– volume: 666
  start-page: 211
  year: 2002
  end-page: 219
  ident: CR26
  article-title: Correlation of Schmidt hardness with unconfined compressive strength and Young’s modulus in gypsum from Sivas (Turkey)
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(02)00041-8
  contributor:
    fullname: Sendir
– ident: CR5
– volume: 5
  start-page: 12
  year: 2003
  end-page: 16
  ident: CR24
  article-title: An intelligent approach for prediction of triaxial properties using unconfined uniaxial strength
  publication-title: Min. Eng. J.
  contributor:
    fullname: Singh
– volume: 9
  start-page: 669
  issue: 6
  year: 1972
  end-page: 697
  ident: CR4
  article-title: The point load strength test
  publication-title: Int. J. Rock Mech. Min. Sci.
  doi: 10.1016/0148-9062(72)90030-7
  contributor:
    fullname: Franklin
– ident: 138_CR12
– volume-title: Artificial neural system-foundation, paradigm, application and implementation
  year: 1990
  ident: 138_CR25
  contributor:
    fullname: P. K. Simpson
– ident: 138_CR2
– volume: 47
  start-page: 1010
  year: 2005
  ident: 138_CR27
  publication-title: Env. Geol.
  doi: 10.1007/s00254-005-1234-1
  contributor:
    fullname: I. Yılmaz
– volume: 9
  start-page: 669
  issue: 6
  year: 1972
  ident: 138_CR4
  publication-title: Int. J. Rock Mech. Min. Sci.
  doi: 10.1016/0148-9062(72)90030-7
  contributor:
    fullname: E. Broch
– volume: 48
  start-page: 69
  year: 1993
  ident: 138_CR17
  publication-title: Bull. Int. Assoc. Eng. Geol. IAEG
  doi: 10.1007/BF02594977
  contributor:
    fullname: E. Kolaiti
– volume: 29
  start-page: 263
  issue: 3–4
  year: 1997
  ident: 138_CR15
  publication-title: Env. Geol.
  doi: 10.1007/s002540050125
  contributor:
    fullname: E. Karacan
– volume: 9
  start-page: 325
  year: 1972
  ident: 138_CR9
  publication-title: Int. J. Rock Mech. Min. Sci. Geomech. Abstr.
  doi: 10.1016/0148-9062(72)90001-0
  contributor:
    fullname: J. A. Franklin
– volume: 29
  start-page: 97
  year: 2001
  ident: 138_CR8
  publication-title: L. Petr. Sci. Eng.
  doi: 10.1016/S0920-4105(00)00096-6
  contributor:
    fullname: J. Finol
– ident: 138_CR5
– ident: 138_CR13
– start-page: 318
  volume-title: Parallel distributed processing: Explorations in the microstructure of cognition
  year: 1986
  ident: 138_CR21
  doi: 10.7551/mitpress/5236.001.0001
  contributor:
    fullname: D. D. Rumelhart
– volume: X
  start-page: 121
  year: 1995
  ident: 138_CR7
  publication-title: Geol. Soc. Am. Rev. Eng. Geol.
  doi: 10.1130/REG10-p121
  contributor:
    fullname: J. C. Dick
– volume: 59
  start-page: 34
  issue: 8
  year: 1951
  ident: 138_CR23
  publication-title: Concrete
  contributor:
    fullname: E. Schmidt
– volume: 10
  start-page: 1
  year: 1977
  ident: 138_CR3
  publication-title: Rock Mech.
  doi: 10.1007/BF01261801
  contributor:
    fullname: N. Barton
– volume: 65
  start-page: 31
  year: 2002
  ident: 138_CR6
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(01)00101-6
  contributor:
    fullname: G. Dhakal
– volume: 666
  start-page: 211
  year: 2002
  ident: 138_CR26
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(02)00041-8
  contributor:
    fullname: I. Yılmaz
– volume: 200
  start-page: 7
  year: 1991
  ident: 138_CR20
  publication-title: NATO ASI Ser E. Applied Sci.
  contributor:
    fullname: J. D. Rodrigues
– volume: 22
  start-page: 51
  issue: 2
  year: 1985
  ident: 138_CR14
  publication-title: Int. J. Rock Mech. Min. Sci. Geomech. Abst.
  doi: 10.1016/0148-9062(85)92327-7
  contributor:
    fullname: ISRM
– volume: 80
  start-page: 1
  year: 1973
  ident: 138_CR18
  publication-title: M.T.A. Dergisi
  contributor:
    fullname: F. Kurtman
– volume: 36
  start-page: 339
  year: 1999
  ident: 138_CR1
  publication-title: Int. J. Rock. Mech. Min. Sci.
  doi: 10.1016/S0148-9062(99)00007-8
  contributor:
    fullname: M. Alvarez Grima
– volume: 5
  start-page: 12
  year: 2003
  ident: 138_CR24
  publication-title: Min. Eng. J.
  contributor:
    fullname: T. N. Singh
– volume: 18
  start-page: 79
  issue: 2
  year: 2000
  ident: 138_CR16
  publication-title: Geotech. Geol. Eng.
  doi: 10.1023/A:1008969726200
  contributor:
    fullname: E. Karacan
– ident: 138_CR19
– volume: 57
  start-page: 215
  issue: 3–4
  year: 2000
  ident: 138_CR10
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(00)00031-4
  contributor:
    fullname: C. Gokceoglu
– volume-title: Parallel distributed processing: explorations in the microstructure of cognition
  year: 1986
  ident: 138_CR22
  doi: 10.7551/mitpress/5236.001.0001
  contributor:
    fullname: D. Rumelhart
– volume: 66
  start-page: 39
  year: 2002
  ident: 138_CR11
  publication-title: Eng. Geol.
  doi: 10.1016/S0013-7952(02)00023-6
  contributor:
    fullname: C. Gokceoglu
SSID ssj0014378
Score 2.345865
Snippet Construction of an artificial neural network model for predicting the modulus of elasticity and unconned compressive strength is presented. Among other things,...
SourceID proquest
crossref
springer
SourceType Aggregation Database
Publisher
StartPage 781
SubjectTerms Civil Engineering
Earth and Environmental Science
Earth Sciences
Geological engineering
Geophysics/Geodesy
Neural networks
Regression analysis
Sedimentary geology
Shear strength
Soil engineering
Technical Note
SummonAdditionalLinks – databaseName: ProQuest Central
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8NAEB60RdCDaFWM9bEHDz4IbrLJtjlJlNYqWEqx4C1sNskxqbYF_ffObJJWBT1lSdgszOzOfJOZfANw3sXIJFUUpqLxtz2RcjtG3GyjK-0igtBcmO4Nz0M5mHhPr_5rVZszq8oqa5toDHVSaPpGfkO048RcIm6nbzY1jaLkatVBYx2aLgYKvAHNu95wNF6mETxRmuKOK2wiJq_TmtywiEoqJTKVl3joOz8d0wpt_kqQGr_T34HtCjCysNTwLqyleQu2vtEItmDjwbTn_dyDJMxZ70MR4y8rMjOpZIhgRMJhLqbqm12Ew-ElC1fZa4bglT3mpYdjPTz45T-N9Jox2kw2UlTGRVyc-zDp917uB3bVR8FWQgZz29FprDKEDm7WCboaARqVlEqX-1nCZSKVL3xHe1wEXAc4zvxYZsqRWZD4icu1OIBGXuTpITCfbiY8c1OdeEKi1fY1BkSOo4h0RksLrmohRtOSLiNaEiMbiUc0JIlHHQvatZij6uTMoqWeLThbPsUtT3kMlafFYhYJSUGp9Cy4rnWzmv_nakf_rtaGTbdmunWOoTF_X6QnCDfm8Wm1qb4A0VPOzg
  priority: 102
  providerName: ProQuest
Title An Example of Artificial Neural Network (ANN) Application for Indirect Estimation of Rock Parameters
URI https://link.springer.com/article/10.1007/s00603-007-0138-7
https://www.proquest.com/docview/206603883
https://search.proquest.com/docview/36409464
Volume 41
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3JTsMwEB1BERIc2BGlLD5wYFGqJE7c5hhQWhZRoYpK5RQ5TnKplCLaSsDXM-MsZT1wsuXEjuJl5o3H8wxw0kbLJJFkpqLwNxyemEaEuNlAVdpGBKFMrm9vuO-J64FzO3SHC2BXWxfZqFl6JLWgrmLdiDmEG3pnzcJF2lqEpSLudMnvPt0Fle_A4bn8bdncIDby0pf5WyNftdEcYn7zimpl01nPAwAnmqOQzpiMmrNp1FTvPxkc__EfG7BWYE_m55NlExaSbAtWPzESbsFyV9_0-7YNsZ-x4FUSeTAbp7pSTjbBiM9DJ_oAOTv1e70z5s8d4QxxMLvJcmXJApQheXgkNdNH8cseJJ0II1rPHRh0gsera6O4ksGQXHhTw1JJJFNEIXba8toKsR6dThW26aaxKWIhXe5ayjG5ZyoP86kbiVRaIvViN7ZNxXehlo2zZA-YS4WxmdqJih0uUAG4Cm0ry5LEX6NEHc7LoQmfc-aNsOJY1p0YUpY6MWzVoVEOXlgswklITPVEdsPrcFw9xdVDLhGZJePZJOSC7Fvh1OGiHK15_T-_tv-vtxuwYpckutYB1KYvs-QQkcw0OoLFdqd7VExgTC-D3kMfSwe2_wFLU-mR
link.rule.ids 315,783,787,12777,21400,27936,27937,33385,33386,33756,33757,41093,41535,42162,42604,43612,43817,52123,52246,74369,74636
linkProvider Springer Nature
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dS8MwED90IuqD6FScU5cHH_ygmDZttj7JkH3pNkQ22FvJ0vaxnW4D_e-9S9tNBX1qaEkDl-Tud7nL7wCuGuiZRIrcVFT-lisibk0RN1toShuIIDQXpnrDYCi7Y_dp4k3y3Jx5nlZZ6ESjqMNU0xn5PdGOE3OJeJi9WVQ0ioKreQWNTdhyBZpquije7qyCCK7IFHHdERbRkhdBTW44RCUlEpm8S9zy9Z9maY01f4VHjdVpH8B-DhdZM5vfQ9iIkjLsfSMRLMN2xxTn_TyCsJmw1ocivl-WxqZTxg_BiILDPEzON7tuDoc3rLmOXTOErqyXZPaNtXDbZzca6TevqDHZi6IkLmLiPIZxuzV67Fp5FQVLCekvLFtHUxUjcHDiut_QCM8ooVQ63ItDLkOpPOHZ2uXC59rHduxNZaxsGfuhFzpcixMoJWkSnQLz6GXIYyfSIQocdban0R2ybUWUM1pW4LYQYjDLyDKCFS2ykXhATZJ4UK9AtRBzkO-bebCa5QrUVl9xwVMUQyVRupwHQpJLKt0K3BVzs-7_52hn_45Wg53uaNAP-r3hcxV2nYLz1j6H0uJ9GV0g8FhML83y-gIi69BZ
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LT8MwDLZgCAQHBAPEGLAcOPBQtbRps-2EJtiLxzQhJu1WZWlz7AbbJPj32Gm7ARKcGrVKIzmO_bl2PwNc1DEyiRWFqWj8HV_E3BkjbnbQldYRQWgubPeG577sDv2HUTDKKIVmWVllbhOtoY4mmr6RV4l2nJhLRNVkVRGD-_bt9M2hBlKUaM26aazDBjpFSQpeb3eWCQVfpEa55gmHKMrzBCe3fKKSiopsDSYe_9pPF7XCnb9SpdYDtfdgN4OOrJnu9T6sxUkRdr4RChZhs2Mb9X4eQNRMWOtDEfcvmxg7KeWKYETHYS-2_ptdNvv9K9Zc5bEZwljWS1Jfx1poAtK_G-k1L2g92UBRQRexch7CsN16ves6WUcFR6FI5o6r47EyCCI8U2vUNUI1Ki6VHg9MxGUkVSACV_tcNLhu4NgEY2mUK00jCiKPa3EEhWSSxMfAAroZcePFOkJ5o_0ONIZGrquIfkbLElznQgynKXFGuKRIthIPaUgSD2slKOdiDrMzNAuXO16CyvIpKj9lNFQSTxazUEgKT6Vfgpt8b1bz_1zt5N_VKrCFmhU-9fqPZdj2cvpb9xQK8_dFfIYYZD4-t9r1BR6W1Jc
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=An+Example+of+Artificial+Neural+Network+%28ANN%29+Application+for+Indirect+Estimation+of+Rock+Parameters&rft.jtitle=Rock+mechanics+and+rock+engineering&rft.au=Y%C4%B1lmaz%2C+I.&rft.au=Yuksek%2C+A.+G.&rft.date=2008-10-01&rft.pub=Springer-Verlag&rft.issn=0723-2632&rft.eissn=1434-453X&rft.volume=41&rft.issue=5&rft.spage=781&rft.epage=795&rft_id=info:doi/10.1007%2Fs00603-007-0138-7&rft.externalDocID=10_1007_s00603_007_0138_7
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0723-2632&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0723-2632&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0723-2632&client=summon