DocumentCode :
299246
Title :
A self-organized network with a supervised training
Author :
Miyanaga, Yoshikazu ; Jin, Hong Lan ; Islam, Rafiqul ; Tochinai, Koji
Author_Institution :
Dept. of Electron. Eng., Hokkaido Univ., Sapporo, Japan
Volume :
1
fYear :
1995
fDate :
30 Apr-3 May 1995
Firstpage :
482
Abstract :
This paper introduces a self-organized network with a supervisor for data clustering and recognition. The network consists of a self-organized module and a supervised module. The self-organized module has been mainly controlled by the information of input data. However, the proposed module is also trained by supervised learning. The supervised learning is applied to the supervised module first and then it is also applied to the self-organized module in order to realize higher generality and higher accuracy than conventional neural networks
Keywords :
learning (artificial intelligence); neural nets; pattern recognition; data clustering; neural networks; recognition; self-organized network; supervised training; Control engineering education; Convergence; Costs; Counting circuits; Electronic mail; Multi-layer neural network; Multilayer perceptrons; Neural networks; Stochastic processes; Supervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
Type :
conf
DOI :
10.1109/ISCAS.1995.521555
Filename :
521555
Link To Document :
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