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基于遗传神经算法的区域水资源预警方法研究 被引量:1

On the Early Warning Methodology of Region Water Resources based on the Neural Networks and Genetic Algorithm
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摘要 本文在区域水资源预警理论分析基础上,应用遗传算法(Genetic Algorithm)与误差反传(Back Propagation)网络结构模型相结合的思路,设计了一套应用遗传算法训练神经网络权重的新方法,据此提出了基于遗传神经算法的区域水资源预警理论方法和模型,并对哈尼梯田水资源进行了预警分析研究。初步检验结果表明,模型具有良好的预测及预警效果,从而为水资源预警研究提供了一种新的方法和思路。 On the basis of the early warning theoretic analysis on region water resources, a new method of genetic algorithm neural networks weighty factors is built, under the thought of combination between genetic algorithm and back propagation networks modeling. According to this, the early warning theoretic method on region water resources and modelings based on genetic algorithm are proposed, and the early warning research into the water resources in Hani terraced fields is carried on. Preliminary justified results indicate that the modeling makes reasonable prediction and the early warning effect, which provides the early warning research into water resources with a new method and thought.
出处 《生态经济》 CSSCI 北大核心 2006年第7期28-30,共3页 Ecological Economy
基金 云南省十五科技重点攻关项目(2002NG14) 省院地校合作项目(2005HH07)资助内容
关键词 水资源预警 遗传算法 神经网络 early warning of water resources genetic algorithm neural networks
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