Optimal structure of wavelet neural network systems using genetic algorithm

유전 알고리듬을 이용한 웨이블릿 신경회로망의 최적 구조 설계

In order to approximate a nonlinear function, wavelet neural networks combining wavelet theory and neural networks have been proposed as an alterantive to coventional multi-layered neural networks. Wavelet neural networks provide better approximating performance than conventional neural networks. In this paper, an effective method to construct an optimal wavelet neural network is proposed using genetic algorithm. This is verified through experimental results.