首页 | 本学科首页   官方微博 | 高级检索  
     检索      

Dynamic learning rates algorithm for BPNN to forecast time series of dam security
作者姓名:Hu Daiping  Wu Ruiming  Lei Aizhong  Wang Qi
基金项目:国家自然科学基金;河南省教育厅高职高专教育教学改革试点项目
摘    要:


Dynamic learning rates algorithm for BPNN to forecast time series of dam security
Hu Daiping,Wu Ruiming,Lei Aizhong,Wang Qi.Dynamic learning rates algorithm for BPNN to forecast time series of dam security[J].Progress in Natural Science,2007,17(12):1527-1530.
Authors:Hu Daiping  Wu Ruiming  Lei Aizhong  Wang Qi
Institution:1. Antai College of Economics & Management, Shanghai Jiaotong University, Shanghai 200052, China; 2. Graduate School, Lanzhou University, Lanzhou 730000, China
Abstract:Time series data of dam security have a large number of observed values and should be forecasted accurately in time. Neural networks have the powerful approach ablilities of arbitrary functions and have been broadly utilized in many domains. In this paper, a dynamic learning rate training algorithm of back-propagation neural networks for time series forecasting is proposed and the networks with this algorithm are built to forecast time series of dam security. The application results demonostrate the efficiency of modelling and the effictiveness of forecasting.
Keywords:neural network  dynamic learning rate  forecasting  dam security  
本文献已被 万方数据 等数据库收录!
点击此处可从《自然科学进展(英文版)》浏览原始摘要信息
点击此处可从《自然科学进展(英文版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号