Development and applications of a sequential, minimal, radial basis function (RBF) neural network learning algorithm
This thesis presents a new sequential learning algorithm for realizing a minimal Radial Basis Function (RBF) neural network, referred to as M-RAN (Minimal Resource Allocation Network). Unlike most of the classical RBF neural networks with the number of hidden neurons fixed apriori, the network st...
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| Format: | Thesis |
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2010
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| Online Access: | http://hdl.handle.net/10356/39014 |