Share Email Print

Optical Engineering

Study of the approximation capabilities of two four-layered neural networks
Author(s): Claudia Mello-Thoms; Stanley M. Dunn
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The approximation capabilities of two different four-layered neural networks are studied. First, a network with the backpropagation algorithm is analyzed, and its error surface, convergence properties, and network design are considered. An alternative to the backpropagation approach is presented, namely, we construct a network that uses a one- pass algorithm. We show that the proposed network can correctly classify N different patterns with 4 ?N?3 hidden units. We also show that an arbitrarily small approximation error can be obtained for this network by adjusting the appropriate parameters.

Paper Details

Date Published: 1 March 1998
PDF: 9 pages
Opt. Eng. 37(3) doi: 10.1117/1.601923
Published in: Optical Engineering Volume 37, Issue 3
Show Author Affiliations
Claudia Mello-Thoms, Rutgers Univ. (United States)
Stanley M. Dunn, Rutgers Univ. (United States)

© SPIE. Terms of Use
Back to Top