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Dynamic group optimisation algorithm for training feed-forward neural networks
Tang, Rui; Fong, Simon; Deb, Suash; Vasilakos, Athanasios V.; Millham, Richard C.
2018-11-07
Source PublicationNEUROCOMPUTING
ISSN0925-2312
Volume314Pages:1-19
AbstractFeed-forward neural networks are efficient at solving various types of problems. However, finding efficient training algorithms for feed-forward neural networks is challenging. The dynamic group optimisation (DGO) algorithm is a recently proposed half-swarm half-evolutionary algorithm, which exhibits a rapid convergence rate and good performance in searching and avoiding local optima. In this paper, we propose a new hybrid algorithm, FNNDGO that integrates the DGO algorithm into a feed-forward neural network. DGO plays an optimisation role in training the neural network, by tuning parameters to their optimal values and configuring the structure of feed-forward neural networks. The performance of the proposed algorithm was determined by comparing its performance with those of other training methods in solving two types of problems. The experimental results show that our proposed algorithm exhibits promising performance for solving real-world problems. (C) 2018 Elsevier B.V. All rights reserved.
KeywordDynamic group optimisation algorithm Metaheuristic algorithm Neural network
DOI10.1016/j.neucom.2018.03.043
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000443718400001
PublisherELSEVIER SCIENCE BV
The Source to ArticleWOS
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Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Tang, Rui,Fong, Simon,Deb, Suash,et al. Dynamic group optimisation algorithm for training feed-forward neural networks[J]. NEUROCOMPUTING,2018,314:1-19.
APA Tang, Rui,Fong, Simon,Deb, Suash,Vasilakos, Athanasios V.,&Millham, Richard C..(2018).Dynamic group optimisation algorithm for training feed-forward neural networks.NEUROCOMPUTING,314,1-19.
MLA Tang, Rui,et al."Dynamic group optimisation algorithm for training feed-forward neural networks".NEUROCOMPUTING 314(2018):1-19.
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