Premium
Purely neural, rule‐based diagnostic systems. II. Uncertain reasoning
Author(s) -
Aiello Aldo,
Burattini Ernesto,
Tamburrini Guglielmo
Publication year - 1995
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550100805
Subject(s) - computer science , artificial intelligence , artificial neural network , certainty , probabilistic logic , schedule , machine learning , synchronization (alternating current) , mathematics , computer network , channel (broadcasting) , geometry , operating system
This article describes neural mechanisms for carrying out forms of uncertain reasoning that are frequently applied in diagnostic problem‐solving. These include various sorts of causal and probabilistic reasoning, as well as the updating of certainty measures. the control and synchronization functions that are needed to schedule these inferential processes are carried out by a neural network, too. A concluding section is devoted to discussing the role of learning in neural diagnostic systems. © 1995 John Wiley & Sons, Inc.