DocumentCode
686307
Title
Fuzzy operator and three dimensional neural network for pattern recognition problem
Author
Dyusembaev, Anuar ; Kaliazhdarov, Danabek ; Grishko, Mikhail
Author_Institution
Dept. of Inf. Syst., KazNU, Almaty, Kazakhstan
fYear
2013
fDate
6-8 Dec. 2013
Firstpage
230
Lastpage
233
Abstract
In the report a non-classical type of neural network is described. The structure of neural network (NN) takes into consideration both differences among inputs of neural network and “physical nature” of pattern recognition process. In this respect a different combinations of various types of inputs of neural network are singled out in advance. Method of the development based on a special fuzzy operator and a problem of correctness network´s solution is being considered as problem of solvability for operator equation. The construction gives opportunity to state a problem of existence and finding exact solution for pattern recognition problem.
Keywords
fuzzy set theory; neural nets; pattern recognition; correctness network solution; fuzzy operator; operator equation; pattern recognition problem; three dimensional neural network; Artificial neural networks; Biological neural networks; Educational institutions; Equations; Mathematical model; Neurons; Pattern recognition; algebra; correctness; fuzzy operator; neural network; weights;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/iFuzzy.2013.6825441
Filename
6825441
Link To Document