Water Demand Forecast Model of BP Neutral Networks Based on Principle Component Analysis
详细信息
- 责任者：Long Xunjian (College of Water Resource and Hydropower Institute ; Sichuan University ; Chengdu 610065 ; China) ; Qian Ju
- 刊名：Journal of Chengdu University of Technology
- 出版年：2010
- 卷期：37(2)
- 关键词：主成分分析 ; principal components analysis ; 神经网络系统 ; neural network system ; 水资源 ; water resources
- 页码：p.206-210
- 图表：2 illus., 5 tables, 15 refs.
- 分类号：1900
- issnNo：ISSN1671-9727
- isbnNo：CN51-1634/N
摘要
Taking the water demand data from 1988 to 2007 of Guazhou County of Gansu Province for an example, this paper analyzes the main factors that influence the water resource quantity based on the principle component analysis method. The results show that the gross domestic product (GDP), total industrial output value, total output value of agriculture and animals population are the primary indices that touch to the water resource demand. The corresponding prediction modeling outcome shows that the simulated experiment is quite fit for the practical situation and the absolute error of prediction is lower than ±0.05×