DocumentCode :
3186552
Title :
Image processing using self-learning fuzzy spiking neural network in the presence of overlapping classes
Author :
Bodyanskiy, Ye ; Dolotov, A.
Author_Institution :
Control Syst. Res. Lab., Kharkiv Nat. Univ. of Radio Electron., Kharkov
fYear :
2008
fDate :
6-8 Oct. 2008
Firstpage :
213
Lastpage :
216
Abstract :
Architecture of self-learning fuzzy spiking neural network that belongs to a new type of hybrid intelligence systems is proposed. Both crisp and fuzzy clustering modes are described. Results of image processing in the presence of overlapping classes are presented.
Keywords :
fuzzy set theory; image processing; neural nets; crisp clustering mode; fuzzy clustering; hybrid intelligence systems; image processing; overlapping classes; self-learning fuzzy spiking neural network; Artificial neural networks; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Hybrid intelligent systems; Image coding; Image processing; Intelligent networks; Neural networks; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics Conference, 2008. BEC 2008. 11th International Biennial Baltic
Conference_Location :
Tallinn
ISSN :
1736-3705
Print_ISBN :
978-1-4244-2059-9
Electronic_ISBN :
1736-3705
Type :
conf
DOI :
10.1109/BEC.2008.4657517
Filename :
4657517
Link To Document :
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