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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 7
  3. International Journal of Machine Learning and Cybernetics : Volume 7, Issue 3, June 2016
  4. The structure and realization of a polygonal fuzzy neural network
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 6, December 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 5, October 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 3, June 2016
Fusing sequential minimal optimization and Newton’s method for support vector training
An improved algorithm for segmenting online time series with error bound guarantee
The structure and realization of a polygonal fuzzy neural network
Towards organizing smart collaboration and enhancing teamwork performance: a GA-supported system oriented to mobile learning through cloud-based online course
Least squares recursive projection twin support vector machine for multi-class classification
Solving 0–1 Knapsack Problem using Cohort Intelligence Algorithm
The generation of band information law and the dynamic hiding of information law
Particle swarm optimization with neighborhood-based budget allocation
Structure learning for weighted networks based on Bayesian nonparametric models
Fuzzy soft set over a fuzzy topological space
Exponential operations of interval-valued intuitionistic fuzzy numbers
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 2, April 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 1, February 2016
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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The structure and realization of a polygonal fuzzy neural network

Content Provider Springer Nature Link
Author Li, Xiaoping Li, Dan
Copyright Year 2015
Abstract As a generalization of ladder fuzzy numbers, the polygonal fuzzy numbers can be approximately represented by a group of ordered real numbers, it not only keeps the closeness of arithmetic operations, and also inherits some excellent properties of ladder fuzzy numbers. To modify defects of the definition of the original polygonal fuzzy numbers, the method of an equidistant subdivision is firstly introduced, and the specific algorithm of general fuzzy numbers into the polygonal fuzzy numbers by two examples is explained in detail. Secondly, using the extension operations of polygonal fuzzy numbers, a polygonal fuzzy neural network is constructed by mathematical methods, and the coefficients transform formulas of the new network are obtained. In addition, it is also proved that the new network still possesses approximation with respect to a continuous polygonal fuzzy valued function. Finally, the approximation algorithm and realization process of the polygonal fuzzy neural networks to a two-polygonal fuzzy valued function are given by means of an example.
Starting Page 375
Ending Page 389
Page Count 15
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 7
Issue Number 3
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2015-07-22
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Polygonal fuzzy numbers Polygonal fuzzy valued functions Activation functions Polygonal fuzzy neural networks Universal approximation Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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