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Scientia Silvae Sinicae ›› 2005, Vol. 41 ›› Issue (4): 127-132.doi: 10.11707/j.1001-7488.20050422

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On the Basis of Artificial Neural Network to Forecast the Forest Fire in Guangdong Province

Yang Jingbiao,Ma Xiaoqian   

  1. College of Electrical Engineering, South China University of Technology Guangzhou510640
  • Received:2003-06-02 Revised:1900-01-01 Online:2005-07-25 Published:2005-07-25

Abstract:

The multi_layer neural network model of the forest fire forecast was built based on the artificial neural network, and the historical data of the factors that were related to the forest fire closely were treated as samples to be trained for the network as well. The results indicated that the forest fire could be forecasted exactly and effectively by the network with the samples consisted of the factors chosen. In_depth discussions on the performance and the training precision of the model were presented, and the feasibility of forest fire forecast was analyzed. The artificial neural network had comprehensive application value in the forecast of the forest fire.

Key words: forest fire, artificial neural network, forest fire forecast