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Preview of Efficient Identification and Inversion of Complex-Valued Wiener Systems Using B-Spline Neural Networks
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Efficient Identification and Inversion of Complex-Valued Wiener Systems Using B-Spline Neural Networks (ijcnn2012-id4.pdf)

3.9 MBSheng ChenEN 8 pages
It uses tensor products of univariate B-spline networks to represent nonlinear functions, employing least squares initialization and the Gauss-Newton algorithm for parameter estimation
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