Modeling of Fermentation Process Based on QDPSO-SVM

被引：2

作者：

Wang, Xianfang ^{[1
]}

Chen, Jindong ^{[1
]}

Wu, Zhou ^{[1
]}

Pan, Feng ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Commun & Control Engn, Jiangsu 214122, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 7, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICNC.2008.176

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Utilizing the ability simple in application and quick in convergence of Quantum Delta-potential-well-based Particle Swarm Optimization (QDPSO) algorithm and the high generalization ability of Support Vector Machine (SVM), selecting the appropriate state variables, a dynamic time-varying model has been built. Using the model and algorithm to per-estimate some biochemical state variables which can not be measured on-lineand to optimize some operational variables. It is proved that the method is efficiency through the practical application of penicillin fermentation process.

引用

页码：186 / 190

页数：5

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