DocumentCode :
1752451
Title :
Study on Influence of Effectiveness Factors on Modular Fuzzy Neural Network Based Prediction Model
Author :
Jin, Jian ; Wang, Jingjing ; Huang, Guoxing ; Jin, Long
Author_Institution :
Sch. of Inf. Sci. & Technol., East China Normal Univ., Shanghai
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
36
Lastpage :
40
Abstract :
Method based on modular fuzzy neural network were introduced. Rainfall prediction in May in Guangxi province as application background, in consideration of the tendency of equalization in cluster population using this method, presented an improved modular fuzzy neural network prediction model with effectiveness factors (MFNNef). Through comparisons between two methods´ results, the feasibility of the new method was verified, and the existence of unequalization in rainfall rough cluster size was approved
Keywords :
fuzzy neural nets; fuzzy set theory; geophysics computing; pattern clustering; rain; weather forecasting; China; Guangxi province; cluster population; effectiveness factors; modular fuzzy neural network; rainfall prediction; Application software; Automation; Electronic mail; Fuzzy neural networks; Information science; Intelligent control; Meteorology; Predictive models; Software engineering; Clustering; Effectiveness Factor; FCM; Modular Fuzzy Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712357
Filename :
1712357
Link To Document :
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