摘要
煤与瓦斯突出是煤矿地下开采过程中的一种动力现象,剧烈的动力效应可导致矿井重大的财产损失和人员伤亡,因此,实现煤与瓦斯突出的有效预测对煤炭工业安全生产具有重要意义。文章以煤与瓦斯突出的自然条件及地质构造特征为基础,针对神经网络易陷入局部极小而引起预测指标权值分布不合理的缺陷,提出了基于神经网络和遗传算法耦合的煤与瓦斯突出区域预测模型,并进行了实例验证。研究结果证明了该模型的合理性,对煤矿实现煤与瓦斯突出区域的预测具有较大的指导价值。
The coal and gas outburst is a dynamic pheaomenon in the underground exploitation of coal mine, and the strong dynamic effect can result in damage of belongs and death of workers of coal mine. Therefore, it is very important to advance coal industry healthy and continual in forecast the area of coal and gas outburst reasonablely. This paper aimed at the defect that neural network is easy to fall into some extremely local smallness and cause the unreasonable distribution of the weight value of the forecast indexes, ade the area forecast model of the coal and gas outburst was established based on coupling of the neural network and the genetic algorithm according to the natural conditions and the characteristics of the geologic structure. The coupling forecast model was validated with the practical example. The study results has proved the validity of the model, and laid the foundation of the area forecast of the coal and gas outburst based on coupling of the neural network and genetic algorithm.
出处
《中国工程科学》
2009年第9期91-96,共6页
Strategic Study of CAE
基金
国家自然科学基金资助项目(50774033)
教育部科学技术研究重点资助项目(206100)
国家安全生产监督管理总局安全生产科技发展计划项目(06-394)
湖南省自然科学基金资助项目(06JJ2069)
湖南省教育厅资助科研项目(05A013)
关键词
煤与瓦斯突出
区域预测
神经网络
遗传算法
突出等值线
coal and gas outburst
area forecast
neural network
genetic algorithm
isoneph of outburst
