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基于遗传算法的人工神经网络大气环境评价
引用本文:熊忠华,陈琦,郑秀梅,张宏俊.基于遗传算法的人工神经网络大气环境评价[J].环境科学与技术,2005,28(4):83-84,94.
作者姓名:熊忠华  陈琦  郑秀梅  张宏俊
作者单位:中国工程物理研究院,绵阳,621900
摘    要:人工神经网络模拟大脑的认知功能,通过改变连接点的权值和阈值来训练神经网络完成特定的功能。运用基于遗传算法的BP网络模型,以国家大气质量标准作为网络的输入样本对网络进行训练,对某地区大气质量进行评价,结果与综合指数法比较吻合。

关 键 词:遗传算法  人工神经网络  BP网络  环境评价  综合指数法
文章编号:1003-6504(2005)04-0083-03

Air Environment Assessment of Artificial System by Genetic Algorithms
XIONG Zhong-hua,CHEN Qi,ZHENG Xiu-mei,ZHANG Hong-jun.Air Environment Assessment of Artificial System by Genetic Algorithms[J].Environmental Science and Technology,2005,28(4):83-84,94.
Authors:XIONG Zhong-hua  CHEN Qi  ZHENG Xiu-mei  ZHANG Hong-jun
Abstract:Cognition function of brain was simulated by artificial nerve network by changing threshold limit value of linking point. BP network model based on genetic algorithms was used to assess air quality in some area with national air quality criteria as inputting samples of the network. The results were in conformity with comprehensive index method.
Keywords:genetic algorithms  artificial system  BP network  environment assessment  comprehensive index method
本文献已被 CNKI 维普 万方数据 等数据库收录!
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