@inproceedings{1c2e936093d44f488fce320d515788ca,
title = "Optimization retrieval of subtropical high dynamic forecast model based on genetic algorithm",
abstract = "Aiming at the difficult of establishing subtropical high dynamic model, the sum of the square difference between actual data and model output was regarded as target restriction, by introducing and applying the idea of dynamic model parameters retrieval and Genetic Algorithm(GA), a climate-meaning non-linear dynamic model of pacific subtropical high was retrieved from the time series of 10-year averaged pacific subtropical high characteristic indexs. The simulative forecast results of the retrieved dynamic model showed that for GA having the connotative advantages of global optimization and parallel calculation, the modeling method of dynamic forecast model by GA can accurately describe and simulate the subtropical high activity,and can be used for diagnosing and predicting such complicated weather system as pacific subtropical high.",
keywords = "Dynamical model retrieval, Genetic algorithm, Subtropical high",
author = "Zhang Ren and Hong Mei and Min Jinzhong and Wan Qilin and Guo Pinwen",
year = "2006",
doi = "10.1109/WCICA.2006.1712359",
language = "英语",
isbn = "1424403324",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "46--50",
booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",
}