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BP人工神经网络在闸坝调度管理能力评价中的应用
引用本文:马科,刘建,孙海胜.BP人工神经网络在闸坝调度管理能力评价中的应用[J].计算机系统应用,2017,26(12):250-256.
作者姓名:马科  刘建  孙海胜
作者单位:中国科学技术大学 管理学院, 合肥 230026,淮河流域水资源保护局, 蚌埠 230000,中国科学技术大学 计算机科学与技术学院, 合肥 230026
基金项目:国家自然科学基金(71671168);国家科技重大专项(2014ZX07204006)
摘    要:闸坝调度对于水资源的利用、保护、治理等具有十分重要的作用,本文以闸坝为基本研究单元,构建单一闸坝的调度管理能力评估指标体系,基于BP人工神经网络构建闸坝调度管理能力评估模型. 最后以淮河流域的沙颍河闸坝群为例,进行实例分析验证了提出模型的可行性.

关 键 词:人工神经网络  闸坝调度管理  评价指标体系
收稿时间:2017/3/13 0:00:00
修稿时间:2017/3/31 0:00:00

Application of the BP Artificial Neural Network in Dam's Dispatching and Management Ability Assessment
MA Ke,LIU Jian and SUN Hai-Sheng.Application of the BP Artificial Neural Network in Dam's Dispatching and Management Ability Assessment[J].Computer Systems& Applications,2017,26(12):250-256.
Authors:MA Ke  LIU Jian and SUN Hai-Sheng
Affiliation:School of Management, University of Science and Technology of China, Hefei 230026, China,Huaihe Water Resources Protection Science Research Institute, Bengbu 230000, China and School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China
Abstract:The dam''s dispatching plays an important role in the utilization, protection and management of water resources. The dam is used as the basic assessment unit to build dispatching and management ability evaluation index system of a single dam, to build the model based on BP artificial neural networks for dam''s dispatching and management ability evaluation. Finally, taking main dams on Huaihe river for example, the model is applied to verify samples, and the results show that the dam''s dispatching and management ability evaluation model based on BP neural networks is a reasonable and feasible forecasting model.
Keywords:artificial neural networks  dam''s dispatching and management ability  evaluation index system
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