| 建立在神经网络基础上的煤矿突水预测模型 |
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| 引用本文： | 姜成志,张绍兵.建立在神经网络基础上的煤矿突水预测模型[J].黑龙江科技学院学报,2006,16(1):8-11. |
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| 作者姓名： | 姜成志 张绍兵 |
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| 作者单位： | 黑龙江科技学院,计算机与信息工程学院,哈尔滨,150027 |
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| 摘 要： | 基于煤矿底板突水机理分析,利用BP神经网络具有分布式记忆、自学习、自适应性等特点,建立煤矿突水预测模型.实例表明,神经网络可以取得满意的预测精度,预测的结果更加可靠.
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| 关 键 词： | BP神经网络 煤矿突水 预测 分类技术 |
| 文章编号： | 1671-0118（2006）01-0008-04 |
| 收稿时间： | 2005-12-02 |
| 修稿时间： | 2005-12-02 |
Forecast model for coal mining water inrush based on neural network |
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| JIANG Chengzhi,ZHANG Shaobing.Forecast model for coal mining water inrush based on neural network[J].Journal of Heilongjiang Institute of Science and Technology,2006,16(1):8-11. |
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| Authors: | JIANG Chengzhi ZHANG Shaobing |
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| Institution: | Computer and Information Engineering College, Heilongjiang Institute of Science and Technology, Harbin 150027, China |
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| Abstract: | The paper introduces the method of constructing the model of forecast for coal mining water inrush based on BP neural network and mechanism analysis of forecast for coal mining water inrush, BP neural network has the distributed memory, neural network can obtain the satisfied forecast self-study, self-adapt characters. The example shows that precision and the reliable forecast results. |
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| Keywords: | BP neural network coal mining water inrush forecast classification technology |
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