Application of the BP Artificial Neural Network in Dam's Dispatching and Management Ability Assessment
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [18]
  • |
  • Related [20]
  • |
  • Cited by
  • | |
  • Comments
    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.

    Reference
    [1] 左其亭, 刘子辉, 窦明, 等. 闸坝对河流水质水量影响评估及调控能力识别研究框架. 南水北调与水利科技, 2011, 9(2): 18-21, 40.
    [2] 喻光晔, 水艳, 李丽华. 构建淮河流域闸坝联合调度能力综合评价指标体系. 治淮, 2015, (1): 5-7.
    [3] 王昭亮, 高仕春, 张慧云. 闸坝对河流水质调控作用的影响因子. 武汉大学学报(工学版), 2011, 44(5): 571-575.
    [4] 张帆. 基于生态的郑州市闸坝调度模式研究[硕士学位论文]. 郑州: 华北水利水电学院, 2011.
    [5] 陆建红. 基于生态友好的北运河闸坝调度与清污轮灌模式研究[博士学位论文]. 北京: 中国农业科学院, 2012.
    [6] 董爱华, 闵洲源. 基于BP人工神经网络的建筑废料管理评价方法. 同济大学学报(自然科学版), 2010, 38(1): 146-150.
    [7] 舒予, 张黎俐. 基于小波分析与人工神经网络的网络舆情预测. 情报科学, 2016, 34(4): 40-42, 47.
    [8] 张学喜. 遗传算法和人工神经网络在边坡稳定性评价中的应用[硕士学位论文]. 合肥: 合肥工业大学, 2007.
    [9] 屈正庚. 层次分析法在大学生选购手机中的研究. 计算机系统应用, 2015, 24(3): 166-170.
    [10] 屈正庚. 层次分析法在商洛市农家乐评价体系中的研究. 计算机系统应用, 2016, 25(9): 236-240. [DOI:10.15888/j.cnki.csa.005378]
    [11] 印春生. 人工神经网络及其它化学计量学方法在化学中的应用研究[博士学位论文]. 合肥: 中国科学技术大学, 1999.
    [12] 吕鲲, 崔灵蕊, 李北伟. 网络信息生态链中信息个体到群体演化过程研究——基于人工神经网络理论. 情报科学, 2016, 34(10): 147-151.
    [13] Kabir G, Hasin MAA. Multi-criteria inventory classification through integration of fuzzy analytic hierarchy process and artificial neural network. International Journal of Industrial & Systems Engineering, 2013, 14(1): 74-103.
    [14] 陈均伟, 朱正龙, 李渊, 等. BP神经网络PID的气动位置控制系统的研究. 数字技术与应用, 2009, (12): 54-55.
    [15] 邓雪, 李家铭, 曾浩健, 等. 层次分析法权重计算方法分析及其应用研究. 数学的实践与认识, 2012, 42(7): 93-100.
    [16] Beigy H, Meybodi MR. A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks. International Journal of Systems Science, 2009, 40(1): 101-118. [DOI:10.1080/00207720802145924]
    [17] 闵惜琳, 刘国华. 用MATLAB神经网络工具箱开发BP网络应用. 计算机应用, 2001, 21(S1): 163-164.
    [18] 朱红梅, 周子英, 黄纯, 等. BP人工神经网络在城市土地集约利用评价中的应用——以长沙市为例. 经济地理, 2009, 29(5): 836-839.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

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.计算机系统应用,2017,26(12):250-256

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 13,2017
  • Revised:March 31,2017
  • Online: December 07,2017
Article QR Code
You are the first990794Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063