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Delphi编程语言,预测了瓦斯的涌出量,并结合实例进行了验证。
In this paper,Back-propagation algorithm model is bulit based on the prediction of the gas emission by the analysis of basic principle and learning algorithm. It predicts the gas emission using the Delphi program and proves the conclusion according to the example.
出处
《河北理工学院学报》
2007年第1期4-7,共4页
Journal of Hebei Institute of Technology
关键词
人工神经网络
BP算法
预测预报
artificial neural network
Back-propagation algorithm
prediction
