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A multi-population cooperative particle swarm optimizer for neural network training
Niu B(牛奔); Zhu YL(朱云龙); He XX(何小贤)
Department先进制造技术实验室
Conference Name3rd International Symposium on Neural Networks (ISSN 2006)
Conference DateMay 28-31, 2006
Conference PlaceChengdu, China
Author of SourceUniv Electr Sci & Technol China, Chinese Univ Hong Kong, Asia Pacific Neural Network Assembly, European Neural Network Soc, IEEE Circuits & Syst Soc, IEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Nat Sci Fdn China, KC Wong Educ Fdn Hong Kong
Source PublicationADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1
PublisherSPRINGER-VERLAG
Publication PlaceBERLIN
2006
Pages570-576
Indexed BySCI ; EI ; CPCI(ISTP)
EI Accession number20062910011448
WOS IDWOS:000238112000085
Contribution Rank1
ISSN0302-9743
ISBN3-540-34439-X
AbstractThis paper presents a new learning algorithm, Multi-Population Cooperative Particle Swarm Optimizer (MCPSO), for neural network training. MCPSO is based on a master-slave model, in which a population consists of a master group and several slave groups. The slave groups execute a single PSO or its variants independently to maintain the diversity of particles, while the master group evolves based on its own information and also the information of the slave groups. The particles both in the master group and the slave groups are co-evolved during the search process by employing a parameter, termed migration factor. The MCPSO is applied for training a multilayer feed-forward neural network, for three benchmark classification problems. The performance of MCPSO used for neural network training is compared to that of Back Propagation (BP), genetic algorithm (GA) and standard PSO (SPSO), demonstrating its effectiveness and efficiency.
Language英语
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8156
Collection工业信息学研究室_先进制造技术研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School, Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Niu B,Zhu YL,He XX. A multi-population cooperative particle swarm optimizer for neural network training[C]//Univ Electr Sci & Technol China, Chinese Univ Hong Kong, Asia Pacific Neural Network Assembly, European Neural Network Soc, IEEE Circuits & Syst Soc, IEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Nat Sci Fdn China, KC Wong Educ Fdn Hong Kong. BERLIN:SPRINGER-VERLAG,2006:570-576.
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