Share Email Print

Proceedings Paper

Uncertainty computations in neural networks
Author(s): L. S. Hsu; H. H. Teh; Sing Chai Chan; K. F. Loe
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In a three-valued neural logic network the strengths of the nodes are confined to the ordered pairs (1 (0 and (0 The first two pairs represent TRUE and FALSE respectively. The meaning of the third pair depends on the type of logic used. In Kleene''s logic (0 represents UNKNOWN. In Bochvar''s logic it represents MEANINGLESS. In this paper we introduced neural networks that allowed the strengths to be an ordered pair of real numbers the sum of which does not exceed one. Uncertainty is expressed by having a sum ofless than one. This allows us to treat uncertainties in facts rules as well as logical operations in a unifying way. 1.

Paper Details

Date Published: 1 August 1990
PDF: 12 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21209
Show Author Affiliations
L. S. Hsu, National Univ. of Singapore (Singapore)
H. H. Teh, National Univ. of Singapore (Singapore)
Sing Chai Chan, National Univ. of Singapore (Singapore)
K. F. Loe, National Univ. of Singapore (Singapore)

Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?