Study of the Safety Assessment Model of Coal Mine Based on BP Neural Network

摘要：

Because of the complexity of coal mine safety assessment and BP neural networks ability to handle complex problem and auto-adaptive ability,the application of BP neural network in the coal mine safety assessment is necessary and feasible.This paper proposes the principle of safety assessment index system establishment and establishs coal mine safety assessment index system,introduces neural network and gives the realization and optimization of BP neural network algorithm,establishs the safety assessment model of coal mine based on BP neural network and carry on the application and analysis of this model,Finally summarize and propose required further study question,the application of BP neural network in the coal mine safety assessment is helpful to solve the problems and difficulties brought by complexity in the assessment and complex weight adjustment and is helpful to improve the accuracy of assessment.

关键词： BP neural network Levengberg-Marquardt algorithm coal mine safety assessment

作者: Yongjian Fan Jianying Mai Yanguang Shen

作者单位: Hebei University of Engineering Handan Hebei,China Artillery Command Academy PLA China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 103-106

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）