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Orthogonal functional basis method for function approximation
Orthogonal functional basis method for function approximation
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机译:正交函数基函数逼近法
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摘要
An orthogonal functional basis method for function approximation is disclosed. Starting with the orthogonal least squares method, a new subset selection method for selecting a set of appropriate basis functions is explained where, instead of picking a subset from a given functional basis, the subset is selected from a combination of functional basis evolved from a set of heterogeneous basis functions. The method results in a more efficient neural network.
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