摘要
通过对神经网络的基本原理和学习算法的分析,建立了基于瓦斯涌出量预测的BP网络应用模型,采用D elph i编程语言,预测了瓦斯的涌出量,并结合实例进行了验证。
Based on analysis of basic principle of neural network and learning algorithm, BP network application model based on gas emission amount predicting is established. The gas emission amount is predicted by Delphi programming language and it is proved by an example.
出处
《矿业快报》
2006年第9期24-26,共3页
Express Information of Mining Industry
关键词
人工神经网络
BP算法
瓦斯预测
Artificial neural network
BP algorithm
Gas Predicting
