Calculation model for open channel division rate based on BP neural network

Journal of Chongqing Jiaotong University(Natural Science) ›› 2003, Vol. 22 ›› Issue (2): 127-129.

Previous Articles Next Articles

Calculation model for open channel division rate based on BP neural network

MU De-wei，ZHANG Xu-jin，MIAO Ji-lun

Southwestern Hydraulic Engineering Research Institute for Water Transport，Chongqing Jiaotong University，Chongqing 400016，China

Received:2002-10-17 Revised:2015-05-18 Online:2003-06-15 Published:2015-05-18

基于神经网络的引水渠分流比预报研究

母德伟，张绪进，缪吉伦

重庆交通学院西南水运工程科学研究所，重庆 400016

作者简介:母德伟(1969—),男,重庆江津人,工程师,主要从事水利水运工程研究.

Abstract

Abstract: By use of the additional momentum method and auto-adjustive learning rate, the BP(Back-propagation)network model with three layers is established to forecast the open channel intake ratio .The comparision between the factural values and the aforementioned method shows that the network model can be well used to predict .

Key words: open channel, neural network, forecast , division rate

摘要： 运用动量法和学习率自适应调整策略,建立了三层前馈网络模型预报明渠侧面分流比.将预测结果与实际值进行对比分析后表明,神经网络模型可用于预测明渠侧面分流比

关键词: 明渠, 神经网络, 预报, 分流比

CLC Number:

TV21

MU De-wei，ZHANG Xu-jin，MIAO Ji-lun. Calculation model for open channel division rate based on BP neural network[J]. Journal of Chongqing Jiaotong University(Natural Science), 2003, 22(2): 127-129.

母德伟，张绪进，缪吉伦. 基于神经网络的引水渠分流比预报研究[J]. 重庆交通大学学报（自然科学版）, 2003, 22(2): 127-129.

[1]	TANG Jiqiang1,2, ZHONG Xinwei2, LIU Jian1, LI Tianrui3. Short Term Forecast of Rail Transit Passenger Flow Based on Time Series Seasonal Classification Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 31-38.
[2]	LI Guangru, ZHANG Xin, ZHU Qinghui. Prediction Method of Port Throughput with Improved Elman Neural Network Based on Adaboost [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 1-5.
[3]	LIU Jie. Short-Term Passenger Flow Prediction between High-Speed Railway Stations Based on Stacked Auto-encoder [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 26-30.
[4]	CHENG Wei1, LIU Xiang1, LEI Jianming2. Optimization of Cycle Length of Intersection Signal Based on RBF Neural Network Prediction [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 13-18.
[5]	LI Jun, ZHANG Jun, ZHANG Shiyi. Lithium Battery SOC Estimation Based on ABP-EKF Algorithm [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(03): 135-140.
[6]	PEI Tongsong1, PEI Yu2. Prediction of Highway Traffic Volume Based on Markov Chain-BP Neural Network Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(02): 35-41.
[7]	YAN Jiaqing1，SHAO Peng1，ZHANG Lili2，WANG Li1. Traffic Flow Velocity Prediction of Urban Road Network Considering Large-Scale Vehicles [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(01): 7-11.
[8]	WENG Xiaoxiong，HAO Yi. Short-Term Traffic Flow Prediction Based on LSTM Algorithm with the Characteristics of Passenger Car Proportion [J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(11): 20-25.
[9]	ZHANG Xianzhou1,2，XIA Chenxi1，CHEN Xiao1，JIANG Yinghao1，CHEN Jianying1. Application of Series IGM-FM Combination Model in Prediction of Subgrade Settlement of High-Speed Railway [J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(11): 99-108.
[10]	CAO Qingsong, YI Xing, XU Li. Adaptive Control of Active Suspension System with Saturation Nonlinearity [J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(10): 126-131.
[11]	LI Guangru, ZHU Qinghui. Forecasting of Port Cargo Throughput Based on Elman Neural Network [J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(06): 8-12.
[12]	XIANG Huarong1,2，ZENG Jing1,2. Recognition on Invaders into Automobile Proving Ground Based on Convolution Neural Network [J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(01): 8-14.
[13]	LI Jun, LENG Chuan. Multi-objective Lightweight Design of Vehicle Door Based on RBF Neural Network Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2019, 38(11): 127-132.
[14]	WANG Guihuai1, ZHONG Cheng2, CHU Xiumin2, ZHANG Daiyong2. Ship Trajectory Restoration Method Based on BLSTM-RNN [J]. Journal of Chongqing Jiaotong University(Natural Science), 2019, 38(10): 7-12.
[15]	SUN Chensheng. A Prediction Model of Rock Burst in Tunnel Based on the Improved MATLAB-BP Neural Network [J]. Journal of Chongqing Jiaotong University(Natural Science), 2019, 38(10): 41-49.

Calculation model for open channel division rate based on BP neural network

基于神经网络的引水渠分流比预报研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics