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应用神经网络对矿岩的倾向性进行模糊分类
引用本文:叶振华. 应用神经网络对矿岩的倾向性进行模糊分类[J]. 矿业快报, 2006, 25(6): 9-12
作者姓名:叶振华
作者单位:中钢集团马鞍山矿山研究院
摘    要:应用神经网络可以模拟复杂的非线性系统的特性,借鉴冬瓜山铜矿岩爆研究的成果,通过利用神经网络,综合多种岩爆判据,对冬瓜山铜矿的几种主要岩石进行了岩爆倾向性预测,同时提出了在冬瓜山岩爆和地压监测系统中运用神经网络处理监测数据的设想。

关 键 词:岩爆  预测  倾向性  神经网络
文章编号:1009-5683(2006)06-0009-04
修稿时间:2006-04-30

Fuzzy Classification of Ore Rock Orientation by Neural Network
Ye Zhenhua. Fuzzy Classification of Ore Rock Orientation by Neural Network[J]. Express Information of Mining Industry, 2006, 25(6): 9-12
Authors:Ye Zhenhua
Affiliation:Maanshan Institute of Mining Research
Abstract:On the basis of the rock burst research achievements of Dongguashan Copper Mine and many kinds of rock burst criteria, the rock burst orientation of several main rocks of Dongguashan Copper Mine is predicted by neural network. At the same time, the assumption of using the neural network to handle monitor data in the rock burst and ground pressure monitor system of Dongguashan Copper Mine is put forward.
Keywords:Rock burst criteria  Prediction  Orientation  neural network
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