摘要
煤与瓦斯突出是一种极其复杂的瓦斯动力灾害现象。采用煤与瓦斯突出预测常用的7项指标作为输入值,基于BP神经网络的非线性自主学习能力,智能化、定量化地识别煤与瓦斯突出的类型。该模型基于MATLAB的神经网络工具箱加以实现。实验结果证明,基于BP神经网络的煤与瓦斯突出预测模型结果可靠,效果良好,应用性比较强。
The coal and the gas outburst is one kind of extremely complex gas power disaster. Use seven indicators which the coal and the gas outburst forecast commonly used as the input value, based on BP neural network＇s misalignment independent learning capability, to recognize the type of the coal and the gas outburst .This model realizes based on the MATLAB neural network toolbox. The experimental result proved that the prediction model of the coal and the gas outbrust based on the BP neural network is reliable and the utility is very common.
出处
《煤炭科技》
2011年第2期58-60,共3页
Coal Science & Technology Magazine
基金
国家自然科学基金重点项目(50834005)
关键词
BP神经网络
煤与瓦斯突出
预测
BP neural network
coal and gas outburst
predicition
