摘要
文章试图在已有研究的基础上,综合考虑城市人居环境的内涵,在国内首次将遗传算法全局寻优和BP神经网络局部寻优相结合的改进神经网络模型应用在人居环境评价中,并对中国35个主要城市人居环境质量进行定量判定,揭示城市人居环境现状及各城市在国内人居环境中的相对水平。结果表明该模型取得了令人满意的结果,是一种有效的评价方法。
Based on the previous research work, the paper explores the connotation of urban human settlements and sets up the model combining the characteristics of global optimization of GA （Genetic Algorithm） with local optimization of BP neural network, This model is applied on quality evaluation of main urban human settlements in China. The evaluation value indicates the current situation of urban human settlements and relative levels in china. The run results of medel show that application on quality evaluation of urban human settlements based on the BP neural network improved by GA is convenient, precise and feasible which can be an evaluation valuable approach.
出处
《经济地理》
CSSCI
北大核心
2007年第1期99-103,共5页
Economic Geography
关键词
遗传算法
BP神经网络
城市人居环境
GA （Genetic Algorithm）
BP neural network
urban human settlements
