Uncertainty computations in neural networks

L. S. Hsu; H. H. Teh; Sing Chai Chan; K. F. Loe

doi:10.1117/12.21209

1 August 1990 Uncertainty computations in neural networks

L. S. Hsu, H. H. Teh, Sing Chai Chan, K. F. Loe

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21209
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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.

Citation Download Citation

L. S. Hsu, H. H. Teh, Sing Chai Chan, and K. F. Loe "Uncertainty computations in neural networks", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21209

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