Abstract: Intelligent prospect prediction method is the leading edge of digital geoscience. In this paper, an intelligent prospect prediction method based on two-dimensional convolutional neural network is used. On the basis of 25 elements and aeromagnetic data on geochemical survey of stream sediments and taking known ore occurrences as monitoring samples, the training data set is obtained by step shift data enhancement. After training the convolutional neural network, it is applied to prospect prediction of unknown areas. The intelligent prospecting of copper deposits in the area of Chounidun-Xixiaokouzi, Gaotai County, west Longshoushan, Gansu Province is predicted. From 3 known copper occurrences, 22 934 training data are obtained. After 200 rounds of training, the prediction accuracy reaches 98.1%, and 5 prediction areas are delineated. In consideration with the previous research results and field work, the delineated areas have good prospect for copper mineralization.

Key words: convolutional neural network, data enhancement, western Longshoushan, copper deposit, intelligent prospecting and prediction