Fast and efficient sequential learning algorithms using direct-link RBF networks
Novel fast and efficient sequential learning algorithms are proposed for direct-link radial basis function (DRBF) networks. The dynamic DRBF network is trained using the recently proposed decomposed/parallel recursive Levenberg Marquardt (PRLM) algorithm by neglecting the interneuron weight interact...
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Main Authors: | , , |
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Format: | Book Section |
Published: |
IEEE Press
2003
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Online Access: | http://isp.imm.dtu.dk/nnsp2003 http://eprints.utp.edu.my/3828/ |
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