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Recursive dynamic node creation in multilayer neural networks

dc.contributor.authorTrujillo, Frank O., author
dc.contributor.authorSheedvash, Sassan, author
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:48:22Z
dc.date.available2007-01-03T04:48:22Z
dc.date.issued1993
dc.description.abstractThis paper presents the derivations of a novel approach for simultaneous recursive weight adaptation and node creation in multilayer back-propagation neural networks. The method uses time and order update formulations in the orthogonal projection method to derive a recursive weight updating procedure for the training process of the neural network and a recursive node creation algorithm for weight adjustment of a layer with added nodes during the training process. The proposed approach allows optimal dynamic node creation in the sense that the mean-squared error is minimized for each new topology. The effectiveness of the algorithm is demonstrated on several benchmark problems, namely, the multiplexer and the decoder problems as well as a real world application for detection and classification of buried dielectric anomalies using a microwave sensor.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationAzimi-Sadjadi, Mahmood R., Sassan Sheedvash, and Frank O. Trujillo, Recursive Dynamic Node Creation in Multilayer Neural Networks, IEEE Transactions on Neural Networks 4, no. 2 (March 1993): 242-256.
dc.identifier.urihttp://hdl.handle.net/10217/920
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1993 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectbackpropagation
dc.subjectfeedforward neural nets
dc.subjecttopology
dc.titleRecursive dynamic node creation in multilayer neural networks
dc.typeText

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