人工神经网络在地球科学中的应用综述

人工神经网络（ANN）是一种动态信息处理系统，它具有联想记忆、自组织、自适应、自学习和容错性等特性。ANN可对地质环境和各类地质对象进行判别分类；可根据地震及测井中的各种波谱曲线进行地质构造模式识别，并实现自动编辑和解释；可对各种遥感信息进行图像处理和地质构造解译；在勘查地球物理方面，可解决某些反演问题；在矿产勘查中可用于矿产资源定量预测与评价勘查过程中的组合优化及多目标决策等问题。

APPLYING ARTIFICIAL NEURAL NETWORK TO GEOSCIENCES

Artificial neural network(ANN)is a kind of dynamic knowledge treatment system.It possesses the functions of associative memory,self orgnization self adaptation,self learning and robustness et al..This paper first introduces briefly the basic characters of ANN,and gives a detailed discuss on ANN application to the classification of geologic environments and objects,the pattern recognization of geological structure in seismic and logging interpretation,remote sensing image processing,and prediction,assessment,optimization and multipurpose decision in exploration for minerals.