Evolutionary Wavelet Neural Network for large dimension function estimation

This paper describes a new method for constructing wavelet neural network in order to improve the accuracy of prediction for multi-dimensional function spaces. An algorithm is developed using the concept of evolutionary search in wavelet neural network. It helps in decreasing the computational effort needed for building the wavelet neural network. Several modifications to wavelet neural network are also suggested for improving its performance in predicting non-linear function spaces. These algorithms were tested using diverse test functions. These networks can be effectively used as non-linear system estimators for large scale optimization problems.