基于神经网络的煤与瓦斯突出强度预测专家系统

针对煤与瓦斯突出影响因素多、难以建立数学模型进行预测的难题,选取平煤集团煤与瓦斯突出案例作为学习样本,利用神经网络自学习能力强的特点构建专家知识库,开发煤与瓦斯突出强度预测专家系统;以采集到的实时数据作为预测样本进行预测验证。结果表明:该系统有较好的预测能力,提高了煤与瓦斯突出强度预测的准确性和及时性。

Expert System for Coal and Gas Outburst Intensity Prediction Based on Neural Network

Coal and gas outburst has many influence factors and it is hard to establish a mathematical model of prediction.Aim at the problem,an intensity of coal and gas outburst prediction expert system was established,the system selected the coal and gas outburst cases of Pingdingshan Coal Group as the study samples,and used the strong self-learning ability of neural network to build a knowledge database of experts.Then the system was tested with the real-time data which was selected as forecasting samples.The simu...