| 基于因子分析的BP神经网络对成都市需水量的预测 |
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| 引用本文： | 冯琨,张永丽,戴沂伽. 基于因子分析的BP神经网络对成都市需水量的预测[J]. 四川环境, 2011, 30(2): 125-130 |
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| 作者姓名： | 冯琨 张永丽 戴沂伽 |
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| 作者单位： | 1. 四川大学建筑与环境学院,成都,610065
2. 西南财经大学财政税务学院,成都,610031 |
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| 摘 要： | 在对四川省成都市的水资源进行综合规划与评价的过程中,通过主成分因子分析可知人口、GDP、给排水管道长度等因素对需水量预测有较大影响,如何建立这些因素与需水量之间的数学关系是预测工作的重点。本文将介绍通过MATLAB数学分析软件建立BP神经网络预测模型,并对模型的预测结果进行评价。
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| 关 键 词： | 需水量预测 BP神经网络 主成分分析 MATLAB |
Water Consumption Forecast Using BP Neural Network Based on Factor Analysis in Chengdu |
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| FENG Kun,ZHANG Yong-li,DAI Yi-jia. Water Consumption Forecast Using BP Neural Network Based on Factor Analysis in Chengdu[J]. Sichuan Environment, 2011, 30(2): 125-130 |
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| Authors: | FENG Kun ZHANG Yong-li DAI Yi-jia |
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| Affiliation: | 1.College of Architecture ＆ Environment,Sichuan University,Chengdu 610065,China;2.School of Public Finance ＆ Taxation,Southwestern University of Finance ＆ Economics,Chengdu 610031,China) |
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| Abstract: | During the process of planning and estimating water resources of Chengdu,through main components analysis it was concluded that factors such as population,GDP,pipe length of water supply and drainage affected the water demand.The most important thing is establishment of mathematical relationships among the factors and water demand.This paper introduces the mathematical analysis software MATLAB to set up a neural network model to forecast water consumption and evaluate the result. |
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| Keywords: | Water consumption forecast BP neural network main components analysis MATLAB |
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