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- W1546869785 abstract "In this paper we present a review and comparison of five different algorithms for training a RBF network. The algorithms are compared using nine databases. Our results show that the simplest algorithm, k-means clustering, may be the best alternative. The results of RBF are also compared with the results of Multilayer Feedforward with Backpropagation, the performance of a RBF network trained with k-means clustering is slightly better and the computational cost considerably lower. So we think that RBF may be a better alternative." @default.
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- W1546869785 date "2003-01-01" @default.
- W1546869785 modified "2023-09-27" @default.
- W1546869785 title "An Empirical Comparison of Training Algorithms for Radial Basis Functions" @default.
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- W1546869785 doi "https://doi.org/10.1007/3-540-44869-1_17" @default.
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