自组织特征映射神经网络在厄尔尼诺事件检验中的应用

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.

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