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- W1649397739 abstract "In the context of regression analysis with penalised linear models (such as RBF networks) certain model selection criteria can be differentiated to yield a re-estimation formula for the regularisation parameter such that an initial guess can be iteratively improved until a local minimum of the criterion is reached. In this paper we discuss some enhancements of this general approach including improved computational efficiency, detection of the global minimum and simultaneous optimisation of the basis function widths. The benefits of these improvements are demonstrated on a practical problem." @default.
- W1649397739 created "2016-06-24" @default.
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- W1649397739 date "2002-11-27" @default.
- W1649397739 modified "2023-09-23" @default.
- W1649397739 title "Optimising the widths of radial basis functions" @default.
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- W1649397739 doi "https://doi.org/10.1109/sbrn.1998.730989" @default.
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