Spectrophotometric determination of synthetic colorants using PSO-GA-ANN
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- 作者：Ali Benvidia ; abenvidi@yazd.ac.ir" class="auth_mail" title="E-mail the corresponding author ; benvidi89@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Saleheh Abbasia ; Sajjad Gharaghanib ; Marzieh Dehghan Tezerjania ; Saeed Masoumc
- 关键词：Multicomponent analysis ; Artificial neural network ; Hybrid of partial swarm optimization-Genetic algorithm ; Food colorants
- 刊名：Food Chemistry
- 出版年：2017
- 出版时间：1 April 2017
- 年：2017
- 卷：220
- 期：Complete
- 页码：377-384
- 全文大小：380 K
文摘
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The hybrid of PSO and GA has been suggested to obtain weights and biases of ANN.
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The proposed method can give appropriate solutions without trapping in local optimum solution.
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The applied algorithm is able to model the nonlinear absorbance–concentration relationship and there is no need to use extracted significant principal components as input of ANN.
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ANN-PSO-GA method is a powerful tool to estimate the concentration of food colorants with a high degree of overlap without any prior separation.