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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
【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。BP神经网络在地质样品测定中将会有很好的应用前景
【Abstract】 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:
【Key words】 BP Neural Network; geological samples; data information classification discrimination; prediction evaluation;
- 【文献出处】 世界地质 ,World Geology , 编辑部邮箱 ,2000年04期
- 【分类号】P632
- 【被引频次】7
- 【下载频次】86