Improved L-M algorithm for ANNs prediction of phase equilibrium in macromolecule system
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Improved L-M algorithm for ANNs prediction of phase equilibrium in macromolecule system
CIESC JournalIssue 3, Pages: 392-399(2005)
作者机构:
1. 中国科学院过程工程研究所,北京,100080
2. 郑州大学化工学院,河南,郑州,450002
作者简介:
基金信息:
DOI:
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Online First:25 March 2005,
Published:25 March 2005
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HE Xuezhong, ZHANG Xiangping, ZHANG Suojiang, et al. Improved L-M algorithm for ANNs prediction of phase equilibrium in macromolecule system[J]. CIESC Journal, 2005, (3): 392-399.
DOI:
HE Xuezhong, ZHANG Xiangping, ZHANG Suojiang, et al. Improved L-M algorithm for ANNs prediction of phase equilibrium in macromolecule system[J]. CIESC Journal, 2005, (3): 392-399.DOI:
Improved L-M algorithm for ANNs prediction of phase equilibrium in macromolecule system
Error back propagation (EBP) is a widely used training algorithm for feedforward neural networks (FFNNs),but low learning rate limits its applications in the networks with complex topology architecture and large patterns.In this work
two modifications on Levenberg-Marquardt algorithm for FFNNs were made.One modification was made on the objective function
while the other was the evaluation of the initial weights and biases.The modified algorithm gave a better convergence rate compared to the traditional EBP algorithm and it was less computationally intensive and required less memory.The performance of the algorithm was verified separately with polymer and protein systems.The results showed that the BP network based on modified Levenberg-Marquardt algorithm could be used to predict the binodal curve of H2O/DMAc(N,N-dimethylacetamide)/PSf(polysulfone) system and lysozyme solubility in aqueous salt solution.