Simultaneous Optimization of Weights and Structure of an RBF Neural Network
نویسندگان
چکیده
We propose here a new evolutionary algorithm, the RBFGene algorithm, to optimize Radial Basis Function Neural Networks. Unlike other works on this subject, our algorithm can evolve both the structure and the numerical parameters of the network: it is able to evolve the number of neurons and their weights. The RBF-Gene algorithm’s behavior is shown on a simple toy problem, the 2D sine wave. Results on a classical benchmark are then presented. They show that our algorithm is able to fit the data very well while keeping the structure simple – the solution can be applied generally.
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تاریخ انتشار 2005