摘要
基于矿山事故隐患的特点和其主要影响因素，和G构建成的基于小波神经网络的矿山隐患安全评价模型，通过Visual Studio2008和SQL Sever2000数据库设计了矿山事故隐患预控系统，为矿山安全管理与控制提供了更方便直观的方法。文章主要介绍其中小波神经网络训练的程序设计和结果输出设计。
Based on the characteristics of the mines accident hidden dangers and their main influencing factors, and the safety eValuation model based on wavelet neural network has been constructed, through the Visual Studio 2008 and SQL Sever 2000 database designs a pre- control system of mine hidden dangers. It can provide a more convenient and intuitive way for the mine safety management and control. This article focuses on introducing wavelet neural network training program design and the results output design.
作者
郑媛
杨卫平
王立红
ZHENG Yuan, YANG Wei-ping, WANG Li-hong （Shandong University of Science and Technology, Qingdao 266510, China）
出处
《电脑知识与技术》
2010年第11期8818-8819,8830,共3页
Computer Knowledge and Technology
关键词
小波神经网络
矿山隐患
评价模型
预控系统
程序设计
wavelet neural network
mining risks
evaluation model
pre-control system
programming
