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Rice Blast Prediction Based on Gray Ant Colony and RBF Neural Network Combination Model

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2 Author(s)
Liu Kun ; Coll. of Inf. Technol., Heilongjiang Bayi Agric. Univ., Daqing, China ; Wang Zhiqiang

For rice blast gray system with complex nonlinearity, utilizing of gray ant colony model and RBF neural network model characteristics, gray ant colony and RBF neural network combination model is presented in this paper. After 10 years (2002-2011) prediction analysis of rice blast, the prediction accuracy of this project is up to 97.84%, and verifies the validity of the prediction model.

Published in:

Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on  (Volume:1 )

Date of Conference:

28-29 Oct. 2012