摘要
应用人工神经网络的基本原理，建立了一个对矿井水源进行判别的多层前传网络数学模型，同时给出了利用ＢＰ算法进行求解的步骤，通过实际数据的检验，取得较为理想的判别效果．
Presented in this paper in the light of the theory of artificial net is a multilayer mathematical method for detecting and evaluating water sources in coal mines, along with the method of BP study algorithm. Actual data checkout shows that a better result is obtained in detecting and evaluating water sources.
出处
《华北水利水电学院学报》
1999年第2期44-47,共4页
North China Institute of Water Conservancy and Hydroelectric Power
关键词
人工神经网络
神经元
最优权值
矿井水源
artificial neural networks
neurone
optimal weightes,water sources in coal mine
