基改进BP网络和模糊综合评判的炸药与岩石匹配优化  

Optimization of Intelligent Matching System for Explosive and Rock Based on Fuzzy Integration Judge and Neural Network

作　　者：叶海旺[1] 

机构地区：[1]武汉理工大学,武汉430070

出　　处：《有色金属》2004年第3期94-97,共4页Nonferrous Metals

基　　金：湖北省科技攻关项目 ( 2 0 0 1AA10 1C2 3 )

摘　　要：运用神经网络和模糊数学方法 ,建立基于模糊和神经网络的炸药与岩石匹配优化系统 ,并应用于工程实践。系统经过样本自行学习就可根据学习结果进行决策 ,并输出系统决策的最优结果。优化结果符合实际情况。由于样本直接影响系统的功能 ,还需不断更新样本 ,改进和完善系统。The matching and optimizing system of rock and explosive based on fuzzy integration judge and neural network is established by use of neural network and fuzzy mathematical method. The decision is made and the optimal results are outputted by the system based on the learning experience after learning from the specimen. The optimizing result is consonant with the practice. The specimen should be refreshed continuously so that the system is updated, since the function of the system is directly impacted by the quality of the specimen.

关 键 词：采矿工程 爆破 智能匹配 模糊综合评判 神经网络 炸药 岩石 BP网络 

分 类 号：TD327[矿业工程—矿井建设] TD76