An experiment with methods of forecasting tropical cyclones intensity base on combination of the genetic algorithm and artificial neural network

YAO Cai; JIN Long; HUANG Ming-ce; HUANG Xiao-yan

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YAO Cai, JIN Long, HUANG Ming-ce, HUANG Xiao-yan. An experiment with methods of forecasting tropical cyclones intensity base on combination of the genetic algorithm and artificial neural network[J]. Haiyang Xuebao, 2007, 29(4): 11-19.

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An experiment with methods of forecasting tropical cyclones intensity base on combination of the genetic algorithm and artificial neural network

1.
Guangxi Institute of Meteorological Disaster Reduction, Nanning 530022, China
2.
Guangxi Meteorological Observatory, Nanning, 530022, China
3.
Nanning Meteorological Burau in Guangxi, Nanning 530022, China

Received Date: 2006-05-07
Rev Recd Date: 2007-05-12

Abstract

Abstract

An experiment of establishing a forecasting model of tropical cyclones(TCs)intensity was undertaken by using genetic algorithm and artificial neural network in combination,base on the data of TCs over the South China Sea area in July and August respectively for the period of 1960~2001.Furthermore,by making a comparative analysis of the forecasting result between the genetic algorithm combining with artificial neural network and the Climatology and Persistence(CLIPER)methods base on the same TCs sample.It showed that the former method had better capacity of TCs intensity forecasting than the latter.
- genetic algorithm,
- artificial neural network,
- tropicalcy clones(TCs),
- intensity forecasting

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References

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