BP神经网络在地质样品测定中的应用  

BP Neural Network and Its Applications on the Determination of Geological Samples

作　　者：马成有 

机构地区：[1]长春科技大学应用理学院,吉林长春130026

出　　处：《世界地质》2000年第4期408-409,416,共3页World Geology

摘　　要：反向传播人工神经网络 (Backpropagationartificialneuralnetworks)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征。该模型可应用于地质样品测定 ,以及从地质样品数据中提取信息 ,实现对地质样品的分类识别及对矿产资源预测评价。The back propagation artificial neural networks 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 gave a detailed discuss on ANN application to the determination of geological samples and the extracting data information from geological samples and realized the classification discrimination prediction and evaluation of geological samples and we can prophesy that BP-ANN will applied in geological samples Key words:

关 键 词：BP神经网络 地质样品 分类识别 预测评价 矿床 

分 类 号：P62[天文地球—地质矿产勘探] TP183[天文地球—地质学]