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