自组织特征映射神经网络在厄尔尼诺事件检验中的应用

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The Application of the SelfOrganizing Feature Map Neural Network in Testing the El Nino Event

LIN Ding¹, LIU Wei¹, ZHANG Zhi-guo²

1.Department of Basic Science,Jilin Architectural and Civil Engineering Institute, Changchun 130021, China；2.Institute of Mineral Resources Prediction of Synthetic Information, Jilin University, Changchun 130026, China

Received:2005-12-01 Revised:1900-01-01 Online:2006-07-26 Published:2006-07-26
Contact: LIN Ding

Abstract

Abstract: The causes of the El Nino events was analyzed. The selforganizing feature map (SOFM) neural network forecasting model was built up according to the numbers of the earthquakes, the conditions of solareclipses and average of seatemperature in 1973~1994 with the method of the SOFM network and examines the El Nino events happened in 1995~2000. Its accuracy rate is 83.3%.

Key words: selforganizing feature map, artificial neural network, El Nino, solareclipse, seatemperature, earthquake

CLC Number:

P732

LIN Ding, LIU Wei, ZHANG Zhi-guo. The Application of the SelfOrganizing Feature Map Neural Network in Testing the El Nino Event[J].J4, 2006, 36(04): 609-612.

References

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