APPLICATION RESEARCH ON QUALITY EVALUATION OF URBAN HUMAN SETTLEMENTS BASED ON THE BP NEURAL NETWORK IMPROVED BY GA
探索了城市人居环境的内涵，并建立了结合遗传算法全局优化与BP神经网络局部优化的模型，用于评价中国主要城市的人居环境质量，结果表明该方法便捷、精确且可行。
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 model 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.