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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Novel Learning Algorithm for Wavelet Neural Networks
verfasst von : Min Huang, Baotong Cui
Erschienen in: Advances in Natural Computation
Verlag: Springer Berlin Heidelberg
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Wavelet neural networks(WNN) are a class of neural networks consisting of wavelets. A novel learning method based on immune genetic algorithm(IGA) for continuous wavelet neural networks is presented in this paper. Through adopting multi-encoding, this algorithm can optimize the structure and the parameters of WNN in the same training process. Simulation results show that WNN with novel algorithm has a comparatively simple structure and enhance the probability for global optimization. The study also indicates that the proposed method has the potential to solve a wide range of neural network construction and training problems in a systematic and robust way.