Fuzzy models, modular networks, and hybrid learning

Author:

Langari Reza,Wang Liang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference36 articles.

1. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,1981

2. Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters;Bridle,1990

3. Sugeno-type controllers are universal controllers;Buckley;Fuzzy Sets and Systems,1993

4. Generalized means as model of compensative connectives;Dyckhoff;Fuzzy Sets and Systems,1984

5. On the principles of fuzzy neural networks;Gupta;Fuzzy Sets and Systems,1994

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1. Evolving Takagi–Sugeno fuzzy model based on switching to neighboring models;Applied Soft Computing;2013-02

2. Cost prediction method based on an improved fuzzy model;The International Journal of Advanced Manufacturing Technology;2012-05-26

3. A new systematic design for Habitually Linear Evolving TS Fuzzy Model;Expert Systems with Applications;2012-02

4. An asymmetry subsethood-based neural fuzzy network;Asian Journal of Control;2008-05-21

5. Parameters modeling for a modified mixture of experts;2008 7th World Congress on Intelligent Control and Automation;2008

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