重庆交通大学学报（自然科学版） ›› 2003, Vol. 22 ›› Issue (2): 127-129.
• • 上一篇 下一篇
母德伟，张绪进，缪吉伦
收稿日期:
修回日期:
出版日期:
发布日期:
作者简介:
MU De-wei，ZHANG Xu-jin，MIAO Ji-lun
Received:
Revised:
Online:
Published:
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
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
中图分类号:
TV21
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.
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.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://xbzk.cqjtu.edu.cn/CN/
http://xbzk.cqjtu.edu.cn/CN/Y2003/V22/I2/127
