首页 | 本学科首页   官方微博 | 高级检索  
     

AGA法及其在非线性数学模型参数估计中的应用
引用本文:金菊良,杨晓华,魏一鸣,储开凤,郦建强. AGA法及其在非线性数学模型参数估计中的应用[J]. 生态与农村环境学报, 1997, 0(4)
作者姓名:金菊良  杨晓华  魏一鸣  储开凤  郦建强
作者单位:河海大学水文环境学院,中国科学院地理研究所资源与环境信息系统国家重点实验室,水利部南京水文水资源研究所
基金项目:“九五”国家科技攻关课题
摘    要:介绍了在基因算法基础上改进的加速基因算法(AGA),并通过环境非线性数学模型参数估计实例对该法与传统参数估计方法进行了比较。初步结果表明,AGA法直观、简便、拟合精度高、通用性强,易为广大环境工程技术人员理解和使用。

关 键 词:基因算法  加速基因算法  参数优化  非线性数学模型

The Acceleration Genetic Algorithm and Its Applications in Optimizing Parameters of Environmental Nonlinear Mathematical Models.
Jin Juliang et al. The Acceleration Genetic Algorithm and Its Applications in Optimizing Parameters of Environmental Nonlinear Mathematical Models.[J]. Journal of Ecology and Rural Environment, 1997, 0(4)
Authors:Jin Juliang et al
Abstract:The Acceleration Genetic Algorithm is presented for optimizing coefficients of environmental nonlinear models. The characteristics of the algorithm are analyzed. The comparison of the algorithm with some traditional optimization methods was made, and the former was found to be better than any of the traditional methods.
Keywords:genetic algorithm   acceleration genetic algorithm   optimization of parameters   nonlinear mathematical models
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号