基于人工神经网络的煤炭资源资产分类研究

Classification of Coal Resources Asset Based on Artificial Neural Networks

将人工神经网络应用于煤炭资源资产分类，以基于聚类的综合评判模糊数学模型的分类结果作为选择训练样本的基础，建立了前向神经网络分类模型。训练后的神经网络不仅能得到理想的输出结果，而且能准确地进行煤炭资源资产分类。分类结果表明，用神经网络方法进行分类具有分类稳定、结果可靠等特点。

This paper presents a neural network approach to classify assets of coal resources.The classification results by the fuzzy synthetic judgement models based on cluster being the base for choosing the training patterns, feedforward network classification model is given.Remarkable success has been achieved in training the networks to learn the patterns and in classifying the coal resources assets.Our results show that the neural network approach for classification has some advantages such as stability and reliability.