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基于人工鱼群神经网络的景观生态规划方法
引用本文:王琼.基于人工鱼群神经网络的景观生态规划方法[J].信息技术,2011(12):137-138.
作者姓名:王琼
作者单位:中国市政工程中南设计研究总院新疆分院,乌鲁木齐,830054
摘    要:将改进人工鱼群- BP神经网络混合算法(RAAFSA - BP)应用于景观生态规划方法中,建立了景观生态规划的RAAFSA - BP模型,对城市景观进行规划和评价.结果表明,该算法泛化能力强,预测精度显著提高,为景观格局预测、模拟分析及景观规划提供了一种有效的方法.

关 键 词:人工鱼群算法  神经网络  景观生态规划

Landscape ecological planning method based on artificial fish-swarm neural network
WANG Qiong.Landscape ecological planning method based on artificial fish-swarm neural network[J].Information Technology,2011(12):137-138.
Authors:WANG Qiong
Institution:WANG Qiong(Xinjiang Subsidiary Institute,Central-Southern China Municipal Engineering Design & ResearchInstitute,Urumqi 830054,China)
Abstract:Revised adaptive artificial fish-school algorithm(RAAFSA) is developed for method of landscape ecological planning.Making RAAFSA-BP models,this paper plans and estimates the city landscape.The result shows that this algorithm improves generalization capacity and forecast accuracy.It gives out an effective way for landscape pattern forecasting,simulation,analysis and landscape planning.
Keywords:artificial fish-school algorithm  neural network  landscape ecological planning
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