三峡大学学报（自然科学版）2013，Vol.35Issue(3)：26-30,5.
改进BP神经网络在郑州市需水量预测中的应用
Application of Improved BP Neural Network to Zhengzhou Socioeconomic Water Demand Forecasting
摘要
Abstract
It is attracting more and more attention to accurately forecast the water demand,for the gap between water supply and demand is enlarging sharply.Accurately water demand forecasting,which "The Three Red Lines" refers as a significant principle,is often used to strengthen the supervision and management of water resources.Based on BP neural network model,the improved BP neural network with self-adaption and gradient descend can be gained if learning rate of BP neural network can adjust automatically.Moreover,the socioeconomic water demand of Zhengzhou city in 2012 and 2015 are predicted will be 14.41× 108 ma and 14.84× 108 ma,using the new method of the impoved BP neural network model.Compared with BP neural network model and the principal component method,the improved BP neural network is more precise,time saving and can automatically adjust learning rate with the iterative error; it can be applied to the process of water demand predication of Zhengzhou city as well.关键词
需水量/预测/改进BP神经网络/BP神经网络Key words
water demand/ prediction/ improved BP neural network/ BP neural network分类
建筑与水利引用本文复制引用
李莉会,陆宝宏,张杰,常娜,唐文涛,刘蕊蕊,许丹,阮晓波,翟梦恩..改进BP神经网络在郑州市需水量预测中的应用[J].三峡大学学报（自然科学版）,2013,35(3):26-30,5.基金项目
NSFC(E50979023) （E50979023）
水利公益(201201026) （201201026）
