地球化学元素分布规律的研究是揭示元素矿化富集及空间变化规律的重要途径之一,采用人工神经网络方法对东天山地区地球化学信息进行了研究,为矿区靶区预测提供支持.对传统BP算法进行了改进,采用分层动量增项自适应BP算法设计,并完成了样本区数据的预测分析,效果较好. The study on the law of distribution of geochemical elements is one of the important ways to reveal the enrichment and spatial variation of elemental mineralization. The geochemical information of East Tianshan area is studied by using artificial neural network to provide support for the forecast of target area in the mining area. BP algorithm is improved. The layered BPM algorithm is used to design BP neural network, and the prediction and analysis of sample data are completed.