Chemical ant colony algorithm with supramolecular coefficient and multivariate calibration to calix[n]arenas(n = 4, 6, 8) supramolecular system
A chemical ant colony algorithm (CACA) with supramolecular coefficient γ was put forward. It has successfully solved the multivariate calibration issue of the supramolecule analysis system, and realized the pure spectra fitting and the simultaneous determination of the calix[n]arenas(n = 4, 6, 8) in...
Saved in:
Published in | Journal of chemometrics Vol. 22; no. 6; pp. 366 - 371 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
01.06.2008
Wiley Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | A chemical ant colony algorithm (CACA) with supramolecular coefficient γ was put forward. It has successfully solved the multivariate calibration issue of the supramolecule analysis system, and realized the pure spectra fitting and the simultaneous determination of the calix[n]arenas(n = 4, 6, 8) in a multicomponent supramolecular system. The analyzing errors for calix[4, 6, 8]arenas through Chemical Ant Colony Algorithm with supramolecular coefficient γ are within ±3.75%. The errors by CACA are within ±7.50%. The former obviously excels the latter. Copyright © 2008 John Wiley & Sons, Ltd. |
---|---|
Bibliography: | ark:/67375/WNG-CWJX6PJ9-3 key disciplines of Shanghai - No. EC (J50102) ArticleID:CEM1119 istex:90E885FF560DC8EB1D1F680297A9EC69422561E9 National Natural Science Foundation of China - No. 20571051; No. 20175013 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0886-9383 1099-128X |
DOI: | 10.1002/cem.1119 |