Application of the nonlinear time series prediction method of genetic algorithm for forecasting surface wind of point station in the South China Sea with scatterometer observations-Reference-Cited by-同舟云学术

Application of the nonlinear time series prediction method of genetic algorithm for forecasting surface wind of point station in the South China Sea with scatterometer observations

Published:2016-11 Issue:11 Volume:25 Page:110502
ISSN:1674-1056
Container-title:Chinese Physics B
language:
Short-container-title:Chinese Phys. B

Author:

Zhong Jian,Dong Gang,Sun Yimei,Zhang Zhaoyang,Wu Yuqin

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Link

https://iopscience.iop.org/article/10.1088/1674-1056/25/11/110502/pdf

Reference18 articles.

1. Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm

2. The four dimensional variational data assimilation with multiple regularization parameters as a weak constraint (Tikh-4D-Var) and its preliminary application on typhoon initialization

3. Ocean surface wind prediction in the north Indian Ocean from in situ and satellite observations using genetic algorithm

4. Forecasting space–time variability of wave heights in the Bay of Bengal: a genetic algorithm approach

5. Chaotic time series prediction using fuzzy sigmoid kernel-based support vector machines

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