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ICANN
2005
Springer

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Interpolation Mechanism of Functional Networks

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Interpolation Mechanism of Functional Networks

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In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single output unit) functional network are designed. Meanwhile, a learning algorithm based on Minimizing a least squares error function with a unique minimum has been proposed for the purpose of approximating function. Experimental results indicate that the interpolation method is completely correct.

Yong-Quan Zhou, Licheng Jiao

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Functional Network | ICANN 2005 | Output Unit | Single Output Unit |

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Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	ICANN
Authors	Yong-Quan Zhou, Licheng Jiao

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