人工神经网络在煤与瓦斯突出预测中的应用

Application of Artificial Neural Network in the Prediction of Coal and Gas Outburst

由于煤与瓦斯突出发生机理的复杂性,传统预测方法的应用受到很大的限制,而人工神经网络理论以其高度非线性映射的特性为解决这一问题提供了新的途径。以突出预测指标为基础,利用多层反向传播神经网络(BP网络)模型实现对突出危险性的预测。实例分析表明,模型精度很高,可用于工作面煤与瓦斯突出危险性的预测。

Traditional methods for prediction of coal and gas outbursts are largely restricted to the complexity of the process.A new prediction method is presented by using artificial neural networks with characteristics of highly nonlinear mapping.In this paper,based on analysis on outburst prediction index,the prediction of outburst hazards is conducted by using the BP network model.The example demonstrates that the model can predict coal and gas outbursts with high precision.