摘要
本文介绍了煤岩界面识别的BP神经网络方法,探讨了影响网络训练的若干因素,对BP算法加以了改进,使得其性能有所提高,收敛速度加快,对推广煤岩界面识别有重要的意义。
In this article,the method of BP neural network used in coal-rock interface identification is intro-duced,several factors influencing the network training are discussed,some measures are taken to improve BP algorithm,so as to make its performance better and its convergence speed quicker.It has the important guid-ing purpose to the spreading of coal-rock interface identification.
出处
《煤矿机电》
北大核心
2002年第5期20-22,共3页
Colliery Mechanical & Electrical Technology
基金
山西省青年科学基金项目(编号:20011020)
