| 基于灰色BP神经网络的瓦斯爆炸的预测 |
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| 引用本文： | 蔡斐,于精哲,刘鉴,江鹏. 基于灰色BP神经网络的瓦斯爆炸的预测[J]. 微计算机信息, 2011, 0(5): 42-43,151 |
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| 作者姓名： | 蔡斐 于精哲 刘鉴 江鹏 |
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| 作者单位： | 辽宁工程技术大学电气与控制工程学院;北京中电久恒科技有限公司;营口供电公司; |
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| 摘 要： | 瓦斯浓度在很大程度上决定了煤矿井下发生爆炸的可能性,而原有灰色模型预测方法精度不是很高,但是所需的数据较少,而BP神经网络有高度的非线性计算、自学习和自组织能力。本文结合了灰色系统与BP神经网络各自的优点进行预测,使预测结果更加精确,可靠性得到很大的提高。
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| 关 键 词： | 瓦斯爆炸 灰色模型 灰色BP神经网络 |
BP Neural Network Based on Grey Prediction of gas explosion |
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| CAI Fei YU Jing-zhe LIU Jian JIANG Peng. BP Neural Network Based on Grey Prediction of gas explosion[J]. Control & Automation, 2011, 0(5): 42-43,151 |
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| Authors: | CAI Fei YU Jing-zhe LIU Jian JIANG Peng |
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| Affiliation: | CAI Fei YU Jing-zhe LIU Jian JIANG Peng (Liaoning Technical University Electrical engineering and automation college,liaoning huludao 125105,China)(Beijing CLP Histsune Technology Co.,Ltd)(Yingkou Power Supply Company) |
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| Abstract: | Gas concentration to a large extent determines the possibility of coal mine explosion,while the original gray model method is not very high precision,but required less data,while the BP neural network is highly non-linear calculation,self-learning and self-organization capability.In this paper,the combination of the gray system and BP neural network 's merits to predict,so that more accurate prediction,reliability is greatly improved. |
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| Keywords: | gas explosion gray model grey BP neural network |
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