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基于LS-SVM城市水资源承载能力预测方法
引用本文:孙林,杨世元,吴德会. 基于LS-SVM城市水资源承载能力预测方法[J]. 水科学与工程技术, 2008, 0(Z2)
作者姓名:孙林  杨世元  吴德会
作者单位:1. 合肥工业大学,合肥,230009
2. 九江学院,江西,九江,332005
摘    要:水资源承载力是水资源安全战略研究中的一个基础课题,是水资源安全的基本度量[1].准确预测水资源承载力,对国民经济发展规划、生态环境保护和水资源持续利用具有重要意义.该文提出了一种基于最小二乘支持向量机城市水资源承载能力预测模型.通过对具体的城市水资源承载能力预测实验,并与其他几种常见模型预测结果比较,表明该模型具有预测精度高、速度快、容易实现等优点,为我国城市水资源承载能力预测提供了一种有效的方法.

关 键 词:水资源承栽力  最小二乘支持向量机  回归  预测

Prediction model for city water resources carrying capacity based on least squares support vector machine
SUN Lin,YANG Shi-yuan,WU De-hui. Prediction model for city water resources carrying capacity based on least squares support vector machine[J]. Water Sciences and Engineering Technology, 2008, 0(Z2)
Authors:SUN Lin  YANG Shi-yuan  WU De-hui
Affiliation:SUN Lin1,YANG Shi-yuan1,WU De-hui2(1.Hefei University of Technology,Hefei 230009,China,2.Jiujiang University,Jiujiang 332005,China)
Abstract:Study on carrying capacity of water resources is a fundamental project in strategic research of water resources safety,and the carrying capacity of water resources is the basic criterion for judging whether it is safe or not.Forecasting water resources carrying capacity accurately is important for planning state economy,protecting environment and using water resource in a sustainable way.The paper puts forward a new prediction model for water resources carrying capacity based on least squares support vector...
Keywords:water resources carrying capacity  least squares support vector machine  regression  prediction  
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