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