DocumentCode
299248
Title
On error bounds for neural network approximation
Author
Dingankar, Ajit ; Sandberg, Irwin W.
Author_Institution
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume
1
fYear
1995
fDate
30 Apr-3 May 1995
Firstpage
490
Abstract
In a recent paper a method is described for constructing certain approximations to a general element in the closure of the convex hull of a subset of an inner product space. This is of interest in connection with neural networks. Here we give an algorithm that generates simpler approximants with somewhat less computational cost
Keywords
approximation theory; error analysis; neural nets; convex hull; error bounds; inner product space; neural network approximation; Arithmetic; Computational efficiency; Computer errors; Frequency locked loops; Neural networks; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2570-2
Type
conf
DOI
10.1109/ISCAS.1995.521557
Filename
521557
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