A convergent smoothing algorithm for training max –min fuzzy neural networks-Reference-Cited by-同舟云学术

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A convergent smoothing algorithm for training max –min fuzzy neural networks

Published:2017-10 Issue: Volume:260 Page:404-410
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Long,Qiao Zhijun,Liu Yan,Chen Yuan

Funder

Natural Science Foundation of China

Hunan Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. Numerical solution of a system of fuzzy polynomials by fuzzy neural network;Abbasbandy;Inf. Sci.,2008

2. Finite-time synchronization for fuzzy cellular neural networks with time-varying delays;Abdurahman;Fuzzy Sets Syst.,2016

3. A fuzzy-neural multi-model for nonlinear systems identification and control;Baruch;Fuzzy Sets Syst.,2008

4. Nondifferentiable optimization via approximation;Bertsekas;Math. Program. Stud.,1975

5. Minimax methods based on approximation;Bertsekas,1976

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