| 神经网络在采煤沉陷区水系治理方案中的应用 |
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| 引用本文： | 谭波波,;沈思良,;吴志红,;王列平.神经网络在采煤沉陷区水系治理方案中的应用[J].淮南工业学院学报,2009(2):13-16. |
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| 作者姓名： | 谭波波 ;沈思良 ;吴志红 ;王列平 |
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| 作者单位： | [1]安徽理工大学地球与环境学院,安徽淮南232001; [2]淮南矿业集团有限责任公司资源环境管理部,安徽淮南232001 |
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| 摘 要： | 在采煤沉陷区水系治理方案优选中,采用Hopfield神经网络求解优化问题原理,将方案优选问题映射到Hopfield神经网络,建立能量函数模型,求解能量达到最小值时的置换矩阵,由置换矩阵得到方案优选排序,决策者参考方案优选排序结果确定拟采用的水系治理方法。
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| 关 键 词： | Hopfield神经网络 置换矩阵 水系治理 方案优选 |
Application of Neural Networks in Project Optimization of Water System Management in Mining Subsidence |
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| Affiliation: | TAN Bo-bo ,SHEN Si-liang,WU Zhi-hong,WANG Lie-ping (1. School of Earth Science and Environment Engineering , Anhui University of Science and Technology, Huainan Anhui 232001, China; 2. Department of Resources and Environment Management, Huainan Mining Group Company, Ltd., Huainan Anhui 232001 ,China) |
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| Abstract: | In project optimization of water system management in mining subsidence, principals of problem optimal solution by Hopfield neural networks was applied. Project optimization issue was mapped into Hopfield neural networks and energy function model was established. Permutation matrix for minimum energy was obtained, by which project optimization order is obtained. Decision maker determines which water system management project is used on the basis of optimization order. |
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| Keywords: | Hopfield neural networks permutation matrix water system management project optimization |
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