An adaptive RBF network optimised using a genetic algorithm applied to rainfall forecasting
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.
Item Type | Other |
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Date Deposited | 26 Jul 2024 12:54 |
Last Modified | 26 Jul 2024 12:55 |
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