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基于人工神经网络的矿井自然发火预测模型及应用
引用本文:施式亮,刘宝琛.基于人工神经网络的矿井自然发火预测模型及应用[J].西安科技大学学报,1999,19(2).
作者姓名:施式亮  刘宝琛
作者单位:1. 中南工业大学,资环建工学院,湖南,长沙,410083
2. 长沙矿冶研究院,湖南,长沙,410016
摘    要:指出了矿井自然发火及其预测对安全生产的重要性以及传统的预测方法存在的缺陷。应用神经网络建立了时间序列的自然发火预测模型,克服了传统预测方法必须事先构建函数的不足之处,提高了自然发火预测的精度。实际应用表明该预测模型的预测精度较高,具有较大的理论意义和应用价值。

关 键 词:神经网络  自然发火  预测模型

A FORECAST MODEL OF COAL SELF-IGNITION BASED ON NEURAL NETWORK AND ITS APPLICATION
SHI Shi-liang,LIU Bao-chen.A FORECAST MODEL OF COAL SELF-IGNITION BASED ON NEURAL NETWORK AND ITS APPLICATION[J].JOurnal of XI’an University of Science and Technology,1999,19(2).
Authors:SHI Shi-liang  LIU Bao-chen
Abstract:The importance of the mine selfignition and forecast for safe production in coal mines was described,and the shortcomings of the traditional predicting methods were discussed.The forecast model of the coal selfignition in mine concerned the time sequence was established based on the neural network.The model in the paper overcomed the shortages of the traditional forecast methods that had to determine the special function in advance,and increased the forecast veracity of the mine selfignition.
Keywords:neural network  coal selfignition  forecast model  
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