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Title: Hybrid PSO-EA algorithm for training feedforward and recurrent neural networks for challenging problems
Author (s): Cai, Xindi
Venayagamoorthy, Ganesh K.
Wunsch, Donald C.
Department/Lab Affiliations: Applied Computational Intelligence Laboratory
Electrical and Computer Engineering
Intelligent Systems Center
Keywords: Computational intelligence
Issue Date: 2006
Publisher: World Scientific
Citation: Cai X, Venayagamoorthy GK, Wunsch DC. Hybrid PSO-EA Algorithm for Training Feedforward and Recurrent Neural Networks for Challenging Problems. Advances In Computational Intelligences: Theory & Applications, pp. 171-213, 2006. World Scientific. Ed. Fei-Yue Wang and Derong Liu
Type: Book chapter
text
In Title: Advances In Computational Intelligences: Theory & Applications
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URL:
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titleHybrid PSO-EA algorithm for training feedforward and recurrent neural networks for challenging problems
contributor.authorCai, Xindi
contributor.authorVenayagamoorthy, Ganesh K.
contributor.authorWunsch, Donald C.
contributor.deptlabApplied Computational Intelligence Laboratory
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabIntelligent Systems Center
subjectComputational intelligence
date.issued2006
publisherWorld Scientific
identifier.URI
http://www.worldcat.org/oclc/150461804
identifier.citationCai X, Venayagamoorthy GK, Wunsch DC. Hybrid PSO-EA Algorithm for Training Feedforward and Recurrent Neural Networks for Challenging Problems. Advances In Computational Intelligences: Theory & Applications, pp. 171-213, 2006. World Scientific. Ed. Fei-Yue Wang and Derong Liu
typeBook chapter
type.DCMITypetext
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
relation.isPartOfAdvances In Computational Intelligences: Theory & Applications
date.available2008-06-16T20:17:46Z
identifier.persist.URI
http://scholarsmine.mst.edu/publication/HybridPSO-EAAlgorithmForTrainingFeedforward_09007dcc80513673.html