Research on Fuzzy Neural Networks Model and its Application in Predicting the Precipitation State

Author

Nong, Jifu ; Jin, Long

Author_Institution

Coll. of Comput. & Inf. Sci., Guangxi Univ. for Nationalities, Nanning

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3286

Lastpage

3290

Abstract

The self-adaptation and self-studying features of neural networks have been combined with the logical reasoning ability of fuzzy system to produce a fuzzy system based neural networks, BP arithmetic is used to adjust system parameters. Finally the fuzzy neural networks model with the monthly mean rainfall is established, as compared with the model of multi-variant linear regression, the fuzzy neural networks is smaller in error values of forecasting, therefore the FNN is suitable to extend in long range forecast of rainfall and is of practical value

Keywords

backpropagation; fuzzy neural nets; precipitation; prediction theory; rain; weather forecasting; BP arithmetic; fuzzy neural network; fuzzy system; logical reasoning; monthly mean rainfall; precipitation state; self-adaptation; self-studying feature; system parameter; Application software; Computer networks; Educational institutions; Electronic mail; Fuzzy neural networks; Fuzzy systems; Information science; Intelligent networks; Neural networks; Predictive models; BP arithmetic; fuzzy neural network; monthly mean rainfall;

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.2006.1712975

Filename

1712975