Application of genetic wavelet neural network in deformation forecast
Xue Zhi-hong · Cehui kexue · 2012
Based on the fact that BP Neural Network and Wavelet Neural Network have local minimum and slow convergence speed,this paper used the Genetic Algorithms to seek all the data in order to calculate the best result and combined the Genetic Algorithms and Wavelet Neural Network to form the Genetic Wavelet Neural Network for deformation forecast,and good effects were achieved.With the forecasting precision,stability,effective extent and calculation time as four standards to evaluate the arithmetic,it compared the BP Neural Network,the Wavelet Neural Network and the Genetic Wavelet Neural Network,the result showed that the Genetic Wavelet Neural Network had superiority.