| Elman与BP神经网络在矿井水源判别中的应用 |
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| 引用本文： | 钱家忠,吕纯,赵卫东,潘婧. Elman与BP神经网络在矿井水源判别中的应用[J]. 系统工程理论与实践, 2010, 30(1): 145-150. DOI: 10.12011/1000-6788(2010)1-145 |
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| 作者姓名： | 钱家忠 吕纯 赵卫东 潘婧 |
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| 作者单位： | 合肥工业大学资源与环境工程学院,合肥,230009 |
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| 基金项目： | 国家自然科学基金，教育部新世纪优秀人才支持计划 |
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| 摘 要： | 介绍了Elman神经网络与BP神经网络,以谢一煤矿为例,分别利用Elman网络与BP网络,针对地下水化学特征分别建立突水判别模型,实例结果表明:Elman网络模型比BP网络模型具有更高的判别精度,更快的运算速度,更好的反应地下水系统特性,为矿井水害防治提供了一种辅助决策手段.
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| 关 键 词： | 突水水源 Elman神经网络 BP神经网络 判别模型 |
Comparison of application on Elman and BP neural networks in discriminating water bursting source of coal mine |
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| QIAN Jia-zhong,L Chun,ZHAO Wei-dong,PAN Jing. Comparison of application on Elman and BP neural networks in discriminating water bursting source of coal mine[J]. Systems Engineering —Theory & Practice, 2010, 30(1): 145-150. DOI: 10.12011/1000-6788(2010)1-145 |
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| Authors: | QIAN Jia-zhong L Chun ZHAO Wei-dong PAN Jing |
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| Affiliation: | QIAN Jia-zhong,L(U) Chun,ZHAO Wei-dong,PAN Jing |
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| Abstract: | The discrimination of the mine water-bursting source is deemed to be a basic knowledge for the water control in the mines.A speedy and precise discrimination is of key importance to the safe production of the whole mine.This paper introduces Elman neural networks and Back-propagation neural networks.Take Xieyi mine as an example,establishes the distinguishing model for water bursting by Elman neural networks and BP neural networks with groundwater chemical characteristics,respectively. Experimental results ... |
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| Keywords: | water bursting source Elman neural networks back-propagation neural networks discriminating model |
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