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
fDate :
30 Apr-3 May 1995
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;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.521557
