PREDICTION OF GEOTHERMAL RESOURCES BY MEANS OF WAVELET NEURAL NETWORK OPTIMIZED BY GENETIC ALGORITHM
Dong Hua-son · Resources and Industries · 2014
This paper gives an introduction to the wavelet neural network optimized by genetic algorithm which is used to predict the geothermal resources,selects volcano,earth quake,Bouguer gravity,magnetic anomaly,distance to fault and SiO2 in underground water as factors,applies excellent time-frequency transformation of wavelet neural network,network self-study and genetic algorithm to optimize the network parameter.This prediction data coincides with the real values verifying this method to be applicable in predicting geothermal resources.