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dc.contributor.editorHu, Xiaolin
dc.contributor.editorBalasubramaniam, P.
dc.date.accessioned2021-04-20T14:53:12Z
dc.date.available2021-04-20T14:53:12Z
dc.date.issued2008
dc.identifierONIX_20210420_9789537619084_34
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64678
dc.description.abstractThe concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. The second part of the book consists of seven chapters, all of which are about system identification and control. The third part of the book is composed of Chapter 11 and Chapter 12, where two interesting RNNs are discussed, respectively.The fourth part of the book comprises four chapters focusing on optimization problems. Doing optimization in a way like the central nerve systems of advanced animals including humans is promising from some viewpoints.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherNeural networks & fuzzy systems
dc.titleRecurrent Neural Networks
dc.typebook
oapen.identifier.doi10.5772/68
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789537619084
oapen.relation.isbn9789535157953
oapen.imprintIntechOpen
oapen.pages402


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