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Journal ArticleDOI

Neural networks and fuzzy systems

Bart Kosko
- 27 May 1998 - 
- Vol. 103, Iss: 6, pp 3131-3131
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This article is published in Journal of the Acoustical Society of America.The article was published on 1998-05-27. It has received 2443 citations till now. The article focuses on the topics: Neuro-fuzzy & Time delay neural network.

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Journal ArticleDOI

A possibilistic approach to clustering

TL;DR: An appropriate objective function whose minimum will characterize a good possibilistic partition of the data is constructed, and the membership and prototype update equations are derived from necessary conditions for minimization of the criterion function.
Journal ArticleDOI

A Survey on Analysis and Design of Model-Based Fuzzy Control Systems

TL;DR: A survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems based on the so-called Takagi-Sugeno fuzzy models or fuzzy dynamic models.
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Forecasting enrollments with fuzzy time series—part II

TL;DR: The forecast of the enrollments of the University of Alabama is carried out and a fuzzy time series model is developed using historical data, which is tested on the basis of its robustness andvantages and problems.
Journal ArticleDOI

An online self-constructing neural fuzzy inference network and its applications

TL;DR: A linear transformation for each input variable can be incorporated into the network so that much fewer rules are needed or higher accuracy can be achieved.
Journal ArticleDOI

Induction of fuzzy decision trees

TL;DR: A fuzzy decision tree induction method, which is based on the reduction of classification ambiguity with fuzzy evidence, is developed, which represents classification knowledge more naturally to the way of human thinking and are more robust in tolerating imprecise, conflict, and missing information.