University of Hertfordshire

An adaptive RBF network optimised using a genetic algorithm applied to rainfall forecasting

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • C. Jareanpon
  • W. Pensuwon
  • R. Frank
  • N. Davey
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Original languageEnglish
Title of host publicationIn: Procs IEEE Int Symp on Communications and Information Technologies (ISCIT 2004) Vol.2
PublisherIEEE
Pages1005-1010
ISBN (Print)0-7803-8593-4
DOIs
Publication statusPublished - 2004

Abstract

Rainfall prediction is a challenging task especially in a modern world facing the major environmental problem of global warming. The proposed method uses an Adaptive Radial Basis Function neural network mode with a specially designed gerietic algoruhm (CA) to obtain the optimal model parameters. A significant feature of the Adaptive Radinl Basis Function network is that it is able creak new hidden units and solve the spread factor problem using a genetic algorithm. It is shown that the evolved parameter values improved performance.

Notes

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