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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1173312
