中文摘要:文章探讨了三层神经网络结构及其误差逆传播学习算法在遥感图像分类中的应用，并利用其技术优势对滇西红山试验区进行了研究实践，结果表明人工神经网络 识别在遥感地质找矿研究中具有广泛的应用前景。
Abstract:With the development of the ANN system theory, the Artificial Neural Network (AN N) technology is becoming an increasingly effective discrimination_classificatio n method for remote sensing image_processing. This paper deals with basic princi ples, technical advantages and means of ANN, and presents a case study carried o ut by the authors. Some basic problems on the practical application of the discr imination_classification method of ANN for remote sensing have been discussed in the paper. The authors hold that the discrimination_classification method of AN N is one of the most effective methods for detecting copper_polymetallic mineral ization image_anomalies in remote sensing for mineral exploration.
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基金项目:国家基础研究规划973项目“印度—亚洲大陆主碰撞带成矿作用”(编号：2002CB41 2600)
引用文本：
王海平，张 彤.2004.人工神经网络方法及其在遥感地质找矿中的应用[J].矿床地质,23(1):123~128.2004.Discrimination of Artificial Neural Network and Its Application to Remote Sens ing for Mineral Exploration: Case Study of Hongshan Area in Western Yunnan[J].Mineral Deposits23(1):123~128
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