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

Jareanpon, C., Pensuwon, W., Frank, R. and Davey, N. (2004) An adaptive RBF network optimised using a genetic algorithm applied to rainfall forecasting. In: In: Procs IEEE Int Symp on Communications and Information Technologies (ISCIT 2004) Vol.2 :. Institute of Electrical and Electronics Engineers (IEEE), pp. 1005-1010. ISBN 0-7803-8593-4
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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.


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