Title :
General fuzzy hypersphere neural network
Author :
Kulkarni, U.V. ; Doye, D.D. ; Sontakke, T.R.
Author_Institution :
Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Vishnupuri, India
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper describes a general fuzzy hypersphere neural network that uses supervised and unsupervised learning within a single training algorithm. It is an extension of fuzzy hypersphere neural network and can be used for pure classification, pure clustering or hybrid clustering/classification
Keywords :
fuzzy neural nets; learning (artificial intelligence); pattern classification; pattern clustering; unsupervised learning; clustering; fuzzy hypersphere network; fuzzy neural networks; pattern classification; supervised learning; training algorithm; unsupervised learning; Computer science; Educational institutions; Feedforward neural networks; Fuzzy neural networks; Fuzzy sets; Network topology; Neural networks; Neurons; Pattern classification; Unsupervised learning;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007512
