Sciweavers

Share
HIS
2004

Neural Networks and Belief Logic

10 years 1 months ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there must be a profound relationship between belief logic and neural networks. In Chen (2002), a plausible neural network model that can compute probabilistic and possibilistic logic was proposed. In this article we further extend this model to continuous variables for function and relation estimation. We discuss why and how belief logic is derived from neural computation.
Yuan Yan Chen, Joseph J. Chen
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where HIS
Authors Yuan Yan Chen, Joseph J. Chen
Comments (0)
books