Integrated method for constructive training of radial basis function networks

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Integrated method for constructive training of radial basis function networks

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Published

A method for improving the generalisation performance of constructive radial basis function (RBF) networks is proposed. Experiments using three image datasets are presented. The results show that the proposed method considerably improves performance of constructive RBF networks, outperforms multilayer perceptrons and AdaBoost and achieves comparable performance to support vector machines in these datasets.

Inspec keywords: learning (artificial intelligence); generalisation (artificial intelligence); radial basis function networks

Other keywords: radial basis function networks; integrated method; image datasets; generalisation performance; RBF networks; dynamic decay adjustment algorithm; constructive training; DDA algorithm

Subjects: Learning in AI (theory); Neural nets (theory)

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