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International Journal of Intelligent Systems
Article . 1994 . Peer-reviewed
License: Wiley TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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https://dx.doi.org/10.1002/int...
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A neural nets expert system

A neural nets expert systems
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1994 English Publisher:Hindawi LimitedJournal:International Journal of Intelligent Systems, volume 9, pages 927-939 (issn: 0884-8173, eissn: 1098-111X, Copyright policy )
Authors: Khalid Md. Nor; Camile Nur; Azur Shah; Leha Alam; Kinah Semesta;

doi: 10.1002/int.4550091002

A neural nets expert system

Abstract

We suggest a description of thermodynamical systems, focusing on near-to-equilibrium states of the systems, within the structure of random graphs to map them to neural nets. We then use the component subgraph configurations of the random graphs that are the stationary states of the near-to-equilibrium systems to represent concepts in an unstructured form. This enables the evolution property of random graphs to give temporal sequences of concepts. Such sequences can be interconnected to form an expert system for processing unstructured data. © 1994 John Wiley & Sons, Inc.

Related Organizations
Keywords

Neural nets applied to problems in time-dependent statistical mechanics, Learning and adaptive systems in artificial intelligence, Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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