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On the structure and initial parameter identification of Gaussian RBF networks.
R.B. Bhatt,
Published in
2004
PMID: 15714604
Volume: 14
   
Issue: 6
Pages: 373 - 380
Abstract
We consider the efficient initialization of structure and parameters of generalized Gaussian radial basis function (RBF) networks using fuzzy decision trees generated by fuzzy ID3 like induction algorithms. The initialization scheme is based on the proposed functional equivalence property of fuzzy decision trees and generalized Gaussian RBF networks. The resulting RBF network is compact, easy to induce, comprehensible, and has acceptable classification accuracy with stochastic gradient descent learning algorithm.
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