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- W4233498144 abstract "While amazing applications have been demonstrated in different science and engineering fields using neural networks and evolutionary approaches, one of the key elements of their further acceptance and proliferation is the study and provision of procedures for the automatic design of neural architectures and associated learning methods, i.e., in general, the study of the systematic and automatic design of artificial brains. In this contribution, connections between conventional techniques of pattern recognition, evolutionary approaches, and newer results from computational and statistical learning theory are brought together in the context of the automatic design of RBF regression networks." @default.
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- W4233498144 date "2002-01-01" @default.
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- W4233498144 title "Searching for a solution to the automatic RBF network design problem" @default.
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- W4233498144 doi "https://doi.org/10.1016/s0925-2312(01)00600-2" @default.
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