DocumentCode
388818
Title
General fuzzy hyperline segment neural network
Author
Patil, P.M. ; Kulkarni, U.V. ; Sontakke, T.R.
Author_Institution
Electron. & Comput. Sci. & Eng. Dept., S.G.G.S. Coll. of Eng. & Technol., Vishnupuri, India
Volume
4
fYear
2002
fDate
6-9 Oct. 2002
Abstract
We propose a general fuzzy hyperline segment neural network (GFHLSNN) and its learning algorithm, which is an extension of the fuzzy hyperline segment neural network proposed by Kulkarni et al (2001). It combines supervised and unsupervised learning in a single algorithm so that it can be used for pure classification, pure clustering and hybrid classification/clustering.
Keywords
fuzzy neural nets; learning (artificial intelligence); neural net architecture; pattern classification; pattern clustering; classification; clustering; fuzzy neural networks; general fuzzy hyperline segment neural network; supervised learning; unsupervised learning; Clustering algorithms; Computer science; Educational institutions; Fuzzy neural networks; Fuzzy sets; Iron; Neural networks; Supervised learning; Topology; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7437-1
Type
conf
DOI
10.1109/ICSMC.2002.1173312
Filename
1173312
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