NDLI: Inference, inquiry and explanation in expert systems by means of fuzzy neural networks

Content Provider	IEEE Xplore Digital Library
Author	Machado, R.J. da Rocha, A.F.
Copyright Year	1993
Description	Author affiliation: IBM Rio Sci. Center, Rio de Janeiro, Brazil (Machado, R.J.)
Abstract	Current research interests in hybrid architectures for intelligent systems focus on integrating the computational paradigms of expert systems and neural networks in a manner that exploits the strengths of both systems and expands the applications to which either system could be applied individually. Such systems, which are called connectionist expert systems, are discussed. The authors show how basic functions of expert systems, such as inference, inquiry and explanation, can be implemented by means of fuzzy neural networks. They introduce some measures of uncertainty to be used by the connectionist inference machine of a classification expert system when performing these functions. The emphasis is on the uncertainty processing by the different elements of the network.<>
Starting Page	351
Ending Page	356
File Size	623311
Page Count	6
File Format	PDF
ISBN	0780306147
DOI	10.1109/FUZZY.1993.327437
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-03-28
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Expert systems Hybrid intelligent systems Computer architecture Computational intelligence Intelligent networks Computer networks Neural networks Fuzzy neural networks Measurement uncertainty Performance evaluation
Content Type	Text
Resource Type	Article

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