Please use this identifier to cite or link to this item:
Title: Uncertainty computations in neural networks
Authors: Hsu, L.S. 
Teh, H.H. 
Chan, S.C. 
Loe, K.F. 
Issue Date: 1990
Citation: Hsu, L.S.,Teh, H.H.,Chan, S.C.,Loe, K.F. (1990). Uncertainty computations in neural networks. Proceedings of SPIE - The International Society for Optical Engineering 1294 : 588-599. ScholarBank@NUS Repository.
Abstract: In a three-valued neural logic network, the strengths of the nodes are confined to the ordered pairs (1,0), (0,1) and (0,0). 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, (0,0) 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 of less than one. This allows us to treat uncertainties in facts, rules as well as logical operations in a unifying way.
Source Title: Proceedings of SPIE - The International Society for Optical Engineering
ISBN: 0819403458
ISSN: 0277786X
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.