Let D be a set with a probability measure +, +(D)=1, and let K be a compact subset of L q (D, +), where the infimum is taken over all g n of the form g n = n i=1 a i , i , with arbitrary , i # K and a i # R. It is shown that for f # conv(K \_ (&K )), under some mild restrictions, \ n ( f, K ) C q =
โฆ LIBER โฆ
Uniform Approximation by Neural Networks
โ Scribed by Y. Makovoz
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 262 KB
- Volume
- 95
- Category
- Article
- ISSN
- 0021-9045
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โฆ Synopsis
Let D/R d be a compact set and let 8 be a uniformly bounded set of D ร R functions. For a given real-valued function f defined on D and a given natural number n, we are looking for a good uniform approximation to f of the form n i=1 a i , i , with , i # 8, a i # R. Two main cases are considered: (1) when D is a finite set and (2) when the set 8 is formed by the functions , v, b (x) :=s(v } x+b), where v # R d , b # R, and s is a fixed R ร R function.
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