DocumentCode :
288508
Title :
Attention to feature region in neural network
Author :
Sano, Hideki ; Iwahori, Yuji ; Ishii, Naohiro
Author_Institution :
Nagoya Inst. of Technol., Japan
Volume :
3
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
1537
Abstract :
This paper presents a construction method of the neural network, which pays attention to the feature region. The efficient feature region is obtained in the neural network by an iterative process. First, the feature region in the neural network for the input patterns is computed by using a function called degree of dependence. Second, an attention to the feature region is computed by a modified Kohonen map algorithm, which is applied to the feature region obtained in the first step. By executing the above two step procedures iteratively one can get an efficient neural network, which pays attention to the characteristic region to classify input patterns
Keywords :
feature extraction; iterative methods; pattern classification; self-organising feature maps; degree of dependence; feature region; iterative process; modified Kohonen map algorithm; neural network; Character recognition; Computer networks; Equations; Feature extraction; Intelligent networks; Iterative algorithms; Neural networks; Pattern classification; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374383
Filename :
374383
Link To Document :
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