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

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        902187.pdf (PDF, 269Kb)
        Author
        Jareanpon, C.
        Pensuwon, W.
        Frank, R.
        Davey, N.
        Attention
        2299/2066
        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.
        Publication date
        2004
        Published in
        In: Procs IEEE Int Symp on Communications and Information Technologies (ISCIT 2004) Vol.2
        Published version
        https://doi.org/10.1109/ISCIT.2004.1413871
        Other links
        http://hdl.handle.net/2299/2066
        Relations
        School of Computer Science
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