複写学習型RBFニューラルネットワークの提案

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  • A Proposal of Copy-Learning-Based RBF Neural Network

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This paper proposes the Copy-Learning-Based RBF network which is the combination of RBF network and a part of network and describes the effectiveness of the proposed network with a character recognition experiment. The experimental result has shown that the learning of the proposed network was more stable and its convergence was also earlier than conventional Copy-Learning-Based BP network, in addition the proposed network is superior in ability for generalization.

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