Evaluation of Regional Crust of the Pearl River Delta Based on BP Artificial Neural Network

BP artificial netural network is introduced to study the crustal stability of the Pearl River Delta.Based on previous studies,this paper analyzes the characteristics of seismic activity,the development of faults,the crustal deformation rate,Quaternary sediments and distribution of geothermal features and collects relevant data,and then builds the transformation relationship between these impact factors and the crustal stability.Based on this,these data are transformed into a number between 0 and 1,and the BP ANN model is developed and trained.The result of the method of BP ANN relatively conforms to reality and is much more accurate than other models.