Configuring RBF neural networks

I. Sohn; N. Ansari

doi:10.1049/el:19980469

Configuring RBF neural networks

I. Sohn, N. Ansari

Department of Electronics & Electrical Engineering

New Jersey Institute of Technology

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

A novel method (based on the characteristics of scatter matrices and frequency-sensitive competitive learning) for training the hidden layer of a radial basis function neural network is proposed. The method is demonstrated to be robust and to outperform the state-of-the-art algorithm.

Original language	English
Pages (from-to)	684-685
Number of pages	2
Journal	Electronics Letters
Volume	34
Issue number	7
DOIs	https://doi.org/10.1049/el:19980469
State	Published - 2 Apr 1998

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title = "Configuring RBF neural networks",

abstract = "A novel method (based on the characteristics of scatter matrices and frequency-sensitive competitive learning) for training the hidden layer of a radial basis function neural network is proposed. The method is demonstrated to be robust and to outperform the state-of-the-art algorithm.",

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Configuring RBF neural networks

Abstract

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