Neural network application for predictive modeling
The article analyzes the approaches to the construction of predictive models based on the apparatus of artificial neural networks, in particular, the method of back propagation of errors by iterative adjustment of weight coefficients.
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| Published in | IOP conference series. Materials Science and Engineering Vol. 905; no. 1; pp. 12069 - 12076 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.08.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1757-8981 1757-899X |
| DOI | 10.1088/1757-899X/905/1/012069 |
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| Abstract | The article analyzes the approaches to the construction of predictive models based on the apparatus of artificial neural networks, in particular, the method of back propagation of errors by iterative adjustment of weight coefficients. |
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| AbstractList | The article analyzes the approaches to the construction of predictive models based on the apparatus of artificial neural networks, in particular, the method of back propagation of errors by iterative adjustment of weight coefficients. |
| Author | Orlova, Yu A Rogachev, A F Rudenko, A Yu Protsyuk, M P Tokarev, K E |
| Author_xml | – sequence: 1 givenname: K E surname: Tokarev fullname: Tokarev, K E email: tke.vgsha@mail.ru organization: Volgograd State Technical University , Russia – sequence: 2 givenname: Yu A surname: Orlova fullname: Orlova, Yu A email: yulia.orlova@gmail.com organization: Volgograd State Technical University , Russia – sequence: 3 givenname: A F surname: Rogachev fullname: Rogachev, A F email: rafr@mail.ru organization: Volgograd State Agricultural University , Russia – sequence: 4 givenname: A Yu surname: Rudenko fullname: Rudenko, A Yu email: rudenkovgsxa@mail.ru organization: Volgograd State Agricultural University , Russia – sequence: 5 givenname: M P surname: Protsyuk fullname: Protsyuk, M P email: maria_protsuk@mail.ru organization: Volgograd State Agricultural University , Russia |
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| Cites_doi | 10.1109/TFUZZ.2013.2294855 10.1145/175247.175257 10.1016/S0142-0615(98)00005-2 |
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| Copyright | Published under licence by IOP Publishing Ltd 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.1088/1757-899X/905/1/012069 |
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| References | Lisetti (MSE_905_1_012069bib3) 1997 Ovchinnikov (MSE_905_1_012069bib5) 2012; 1 Gagarin (MSE_905_1_012069bib2) 2012; 4 Wen (MSE_905_1_012069bib9) 2014; 22 Timoshenko (MSE_905_1_012069bib6) 2019; 726 Kashem (MSE_905_1_012069bib10) 1998; 20 Anikin (MSE_905_1_012069bib11) 2016 Widrow (MSE_905_1_012069bib4) 1994; 37 Nikitin (MSE_905_1_012069bib7) 2018; 2212 Alekseev (MSE_905_1_012069bib1) 2016; 451 Kayvan (MSE_905_1_012069bib8) 2010 |
| References_xml | – volume: 451 start-page: 133 year: 2016 ident: MSE_905_1_012069bib1 article-title: Context-sensitive image analysis for coloring nature images publication-title: Advan. in Intellig. Syst. and Comput. – volume: 22 start-page: 1704 year: 2014 ident: MSE_905_1_012069bib9 article-title: Exponential adaptive lag synchronization of memristive neural networks via fuzzy method and applications in pseudorandom number generators publication-title: IEEE Transact. on Fuzzy Syst. doi: 10.1109/TFUZZ.2013.2294855 – start-page: 1 year: 2010 ident: MSE_905_1_012069bib8 article-title: Hopfield Neural Networks as Pseudo Random Number Generators. in North America – start-page: 1 year: 2016 ident: MSE_905_1_012069bib11 article-title: Pseudo-random number generator based on fuzzy logic – volume: 37 start-page: 93 year: 1994 ident: MSE_905_1_012069bib4 article-title: Neural networks — applications in industry, business and science publication-title: Communicat. of the ACM doi: 10.1145/175247.175257 – volume: 20 start-page: 247 year: 1998 ident: MSE_905_1_012069bib10 article-title: Artificial neural network approach to network reconfiguration for loss minimization in distribution networks publication-title: Electr. Power & Energy Syst. doi: 10.1016/S0142-0615(98)00005-2 – volume: 4 start-page: 339 year: 2012 ident: MSE_905_1_012069bib2 article-title: Prognozirovanie urozhajnosti na osnove analiza kross-regional’nyh dannyh Proc. of Lower Volga Agrouniver publication-title: Complex: Sci. and Higher Vocat. Ed. – start-page: 1100 year: 1997 ident: MSE_905_1_012069bib3 – volume: 1 start-page: 119 year: 2012 ident: MSE_905_1_012069bib5 article-title: New technical solutions improve the efficiency of resource-saving irrigation methods publication-title: Proc. of Lower Volga Agrouniver. Complex: Sci. and Higher Vocat. Ed. – volume: 726 start-page: 989 year: 2019 ident: MSE_905_1_012069bib6 article-title: Analysis and support of decisionmaking with the use of latest information and communication technologies for the development of social and economic area with regard to capabilities of different categories of population publication-title: Advan. in Intellig. Syst. and Comput. – volume: 2212 start-page: 399 year: 2018 ident: MSE_905_1_012069bib7 article-title: Automated sound generation based on image colour spectrum with using the recurrent neural network publication-title: CEUR Workshop Proc. |
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| SubjectTerms | Artificial neural networks Back propagation networks Iterative methods Neural networks Prediction models |
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| Title | Neural network application for predictive modeling |
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