An Organizing Radial Basis Function Network and its Hybrid Learning Algorithm
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Graphical Abstract
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Abstract
An orgbozing radial basis function network is proposed, and a hybrid learning algorithm, which holds both non-supervised orgedzing function and supervised learning function, is introduced tO it. Some illustrative examples are given, showing the network might be applied to function approximating and pattern classification.
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