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Implementation for Gauss-Type Function Integral Using RBF Neural Networks
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TN015

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    Abstract:

    First an proximate expression of Gauss type function integral is deduced with proper accuracy, and then a scheme based on modified radial basis function (RBF) neural networks is proposed. The numerical experiments indicate that the proposed scheme has a higher proximate accuracy.

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  • Received:
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  • Online: November 19,2015
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