Research on calculation method of free flow discharge based on artificial neural network and regression analysis

被引：8
|
作者：
Dou, Ming [1 ]
Qin, Chenguang [1 ]
Li, Guiqiu [1 ]
Wang, Cai [2 ]
机构：
[1] Zhengzhou Univ, Coll Water Conservancy & Environm, 100 Kexue Rd, Zhengzhou 450001, Henan, Peoples R China
[2] Jiangsu Prov Hydrol & Water Resources Invest Bur, Nantong Branch Bur, Nantong 226000, Peoples R China
来源：
FLOW MEASUREMENT AND INSTRUMENTATION | 2020年 / 72卷
关键词：
Sluice gate; Free flow; Discharge; Regression analysis; Artificial neural network; COEFFICIENT; GATES;
D O I：
10.1016/j.flowmeasinst.2020.101707
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Taking the Huaidian Sluice on the Shaying River in China as an example, this paper establishes the calculation model of the free flow based on artificial neural network and regression analysis. Four forms of discharge coefficient calculation equations were obtained by regression analysis, and three neural network models were established. The model is fully verified by using the measured data. The experimental results show that the third-order polynomial and multilayer perceptron neural network have better adaptability. The advantages and disadvantages of the different methods are analyzed and the cause of the error is identified. It provides a theoretical basis for dealing with the discharge calculation of small and medium dam.
引用
收藏
页数：9
相关论文
共 50 条
  • [1] Calculation Method for Evaporation Duct Profiles Based on Artificial Neural Network
    Yan, Xidang
    Yang, Kunde
    Ma, Yuanliang
    [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2018, 17 (12): : 2274 - 2278
  • [2] MEASUREMENT AND CALCULATION OF CALORIFIC VALUE OF RAW COAL BASED ON ARTIFICIAL NEURAL NETWORK ANALYSIS METHOD
    Liu, Peng
    Lv, Shuran
    [J]. THERMAL SCIENCE, 2020, 24 (05): : 3129 - 3137
  • [3] RETRACTED: Research on Pattern Recognition Method of Transformer Partial Discharge Based on Artificial Neural Network (Retracted Article)
    Xi, Yu
    Yu, Li
    Chen, Bo
    Chen, Guangqin
    Chen, Yimin
    [J]. SECURITY AND COMMUNICATION NETWORKS, 2022, 2022
  • [4] Estimation of free-swelling index based on coal analysis using multivariable regression and artificial neural network
    Chelgani, S. Chehreh
    Hower, James C.
    Hart, B.
    [J]. FUEL PROCESSING TECHNOLOGY, 2011, 92 (03) : 349 - 355
  • [5] Research on Voice Quality Evaluation Method Based on Artificial Neural Network
    Di, Zixiang
    Xiao, Tian
    Li, Yi
    Cheng, Xinzhou
    Li, Bei
    Xu, Lexi
    Zhu, Xiaomeng
    Zhi, Lu
    Xia, Rui
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, 2022, : 1510 - 1515
  • [6] Research on the Sound Quality Evaluation Method Based on Artificial Neural Network
    Song, Xiedong
    Yang, Wei
    [J]. SCIENTIFIC PROGRAMMING, 2022, 2022
  • [7] The research on weighting method for performance indicators based on artificial neural network
    Yang, Y
    Li, YJ
    [J]. PROCEEDINGS OF 2002 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II, 2002, : 193 - 197
  • [8] Application of artificial neural network to fMRI regression analysis
    Misaki, M
    Miyauchi, S
    [J]. NEUROIMAGE, 2006, 29 (02) : 396 - 408
  • [9] Comparison of artificial neural network and multiple regression for partial discharge sources recognition
    Mas'ud, Abdullahi Abubakar
    Muhammad-Sukki, Firdaus
    Albarracin, Ricardo
    Ardila-Rey, Jorge Alfredo
    Abu-Bakar, Siti Hawa
    Ab Aziz, Nur Fadilah
    Bani, Nurul Aini
    Muhtazaruddin, Mohd Nabil
    [J]. 2017 9TH IEEE-GCC CONFERENCE AND EXHIBITION (GCCCE), 2018, : 519 - 523
  • [10] ARTIFICIAL NEURAL NETWORK FOR ANALYSIS OF THE TRAFFIC FLOW
    Zenina, Nadezhda
    Borisov, Arkady
    [J]. 16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MENDEL 2010, 2010, : 161 - 165
12345