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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Additional information This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. DOI : 10.1109/ISCIT.2004.1413871
Date Deposited 15 May 2025 16:14
Last Modified 29 Jun 2025 23:16

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