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大气科学  2007 

用遗传算法重构副热带高压特征指数的非线性动力模型

DOI: 10.3878/j.issn.1006-9895.2007.02.15

Keywords: 遗传算法,Lorenz系统,副热带高压

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Abstract:

用遗传算法从离散时间序列资料中反演重构了非线性动力模型。首先,用Lorenz系统的时间积分数据进行模型重构试验,随后,对十年平均的副热带高压形态指数时间序列进行动力模型参数反演和仿真预报试验。结果表明,遗传算法具有的全局搜索和并行计算优势能够较为准确地描述和刻画副热带高压活动,能对副高活动进行较为准确的描述与建模,是诊断和预测副热带高压等复杂天气系统活动的一条有效途径。

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