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- W2022089622 abstract "A method of multivariable (multivariate) Hermite function based approximation is presented and discussed. The multivariable basis is constructed as a product of one-variable Hermite functions with adjustable scaling parameters. Thanks basis orthonormality, the approximated function expansion coefficients are calculated by using explicit, non-search formulae. The scaling parameters are determined via a search algorithm. Initially, an excessive number of functions in the basis is calculated, then a simple pruning method is applied. Only those are taken which contribute the most to error decrease, down to a desired level. The method ensures a very good generalization property. This claim is supported by both theoretical considerations and working examples." @default.
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- W2022089622 date "2012-11-01" @default.
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- W2022089622 title "A method of multivariable Hermite basis function approximation" @default.
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- W2022089622 doi "https://doi.org/10.1016/j.neucom.2011.10.035" @default.
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