Mitra, Sushmita ; Pal, Sankar K (1996) Neuro-Fuzzy Expert Systems: Relevance, Features and Methodologies IETE Journal of Research, 42 (4-5). pp. 335-347. ISSN 0377-2063
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Official URL: https://doi.org/10.1080/03772063.1996.11415939
Related URL: http://dx.doi.org/10.1080/03772063.1996.11415939
Abstract
Some of the inherent problems of expert system design, and the relevance of fuzzy logic, neural networks and neuro-fuzzy computing in circumventing them are explained. Various existing models of neuro-fuzzy expert systems are described. A comparative study with the traditional and connectionist versions is given in tabular form. The way of generating linguistic rules is explained with an example. The work on recent approaches using knowledge-based networks in this regard has also been highlighted.
Item Type: | Article |
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Source: | Copyright of this article belongs to Medknow Publications. |
ID Code: | 140168 |
Deposited On: | 07 Sep 2025 05:49 |
Last Modified: | 07 Sep 2025 05:49 |
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