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[1]任照环,倪长健.免疫进化算法在复合极值分布参数估计中的应用[J].成都信息工程大学学报,2016,(02):223-227.
　REN Zhao-huan,Ni Chang-jian.Application of Immune Evolutionary Algorithm to Parameter Estimate of Compound Extreme Model[J].Journal of Chengdu University of Information Technology,2016,(02):223-227.
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免疫进化算法在复合极值分布参数估计中的应用

成都信息工程大学学报[ISSN:1006-6977/CN:61-1281/TN] 卷: 期数: 2016年02期 页码: 223-227 栏目: 大气科学 出版日期: 2016-01-30
Title:
Application of Immune Evolutionary Algorithm to Parameter Estimate of Compound Extreme Model
文章编号:
2096-1618(2016)02-0223-05
作者:
任照环1;  倪长健2
(1.南川区气象局,重庆 南川 408400; 2.成都信息工程大学大气科学学院,四川 成都 610225)
Author(s):
REN Zhao-huan1;  Ni Chang-jian2
(1. Nanchuan Meteorological Observatory, Nanchuan 408400,China; 2.College of Atomospheric Sciences,Chengdu University of Information Technology, Chengdu 610225,China)
关键词:
气象学;  气候统计;  免疫进化算法;  复合极值分布;  参数估计
Keywords:
meteorology;  climatological statistics;  immune evolutionary algorithm;  compound extreme model;  parameter estimatation
分类号:
P456.8
文献标志码:
A
摘要:
参数估计是复合极值模型应用的难点之一,针对这一问题,利用免疫进化算法来估计复合极值模型的参数,给出在气候统计方面的两个应用实例。结果表明:免疫进化算法应用于复合极值模型参数求解是合理和可行的; 相比于L-矩估计法及复合矩估计法,免疫进化算法所求参数拟合效果更好; 免疫进化算法具有高效、普适的优点,在其他参数优化问题上也有广泛的应用前景。
Abstract:
Parameter optimization is becoming one of the difficulties for the application of compound extreme model. To solve this problem, immune evolutionary algorithm(IEA)is proposed to optimize the parameter of compound extreme model, which was demonstrated to be effective using two concrete examples. The results show that:It is reasonable and feasible to optimize the parameter of compound extreme model with the proposed IEA; The fit model parameters calculated from IEA is better than that calculated from L-Moment and PWM; With the advantages of highly efficient and general, IEA is potential to be used in solving other parameters optimization problems.

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备注/Memo

收稿日期:2015-05-10 基金项目:公益性行业(气象)资助项目(GYHY201006023)

更新日期/Last Update: 2016-01-30