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中文摘要：
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。
英文摘要：
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.
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同项目期刊论文
Experimental study on properties of transverse strain and gas flow of coal containing gas in process
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