建立在神经网络基础上的煤矿突水预测模型

Forecast model for coal mining water inrush based on neural network

基于煤矿底板突水机理分析,利用BP神经网络具有分布式记忆、自学习、自适应性等特点,建立煤矿突水预测模型。实例表明,神经网络可以取得满意的预测精度,预测的结果更加可靠。

The paper introduces the method of constructing the model of forecast for coal mining water inrush based on BP neural network and mechanism analysis of forecast for coal mining water inrush, BP neural network has the distributed memory, neural network can obtain the satisfied forecast self-study, self-adapt characters. The example shows that precision and the reliable forecast results.