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A review of genetic algorithms applied to training radial basis function networks

✍ Scribed by C. Harpham; C. W. Dawson; M. R. Brown


Publisher
Springer-Verlag
Year
2004
Tongue
English
Weight
292 KB
Volume
13
Category
Article
ISSN
0941-0643

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A wavelet-based radial-basis function ne
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## Abstract A new approach, based on the radial‐bias function neural network (RBF‐NN) combined with wavelet transform, is presented for the estimation of the locations and radii of conducting cylindrical scatterers. The discrete wavelet transform coefficients of the electric‐field values scattered