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