Application of genetic-BP neural network model in lithology identification by logging data in Binchang mining area

Based on the analysis of features of Genetic Algorithm (GA) and Back-Propagation Algorithm (BP), it is concluded that the disadvantage of BP algorithm includes large identification specimen in inversion, so a methodology to optimize BP network structure and link weights with GA is proposed and the lithology identification model based on GA optimized BP algorithm is established.Using the basic data from Binchang mining area, the lithology identification function is tested, and the result indicates that the GA-BP neural network model has good identification speed and accuracy.