We consider multidimensional shift-invariant input-output maps G from a relatively compact set of functions S to a set of real-valued functions, and we give criteria under which these maps can be uniformly approximated arbitrarily well using a certain structure consisting of a not-necessarily linear
β¦ LIBER β¦
Separation Conditions, Myopic Maps, and Criteria for Uniform Approximation of Input-Output Maps
β Scribed by Irwin W. Sandberg
- Book ID
- 110263742
- Publisher
- Springer US
- Year
- 1999
- Tongue
- English
- Weight
- 95 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0923-6082
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## Abstract Radial basis functions are of interest in connection with a variety of approximation problems in the neural networks area, and in other areas as well. Here we show that the members of some interesting families of shiftβvarying inputβoutput maps, that take a function space into a functio
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