DocumentCode
328860
Title
Competitive self-organizing neural network
Author
Imoto, Masmichi Mo
Author_Institution
Basic Res. Dept., Olympus Opt. Co. Ltd., Tokyo, Japan
Volume
2
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
1159
Abstract
Employing a network with the energy function which shows a degree of self-organization, learning and association of alphabet letters is shown. Due to the following two improvements introduced in comparison with the precedents, the efficiency of calculation has become much higher: (i) learning of local features of patterns; (ii) putting labels to patterns so as to show the total features of a picture.
Keywords
pattern recognition; self-organising feature maps; alphabet letters; association; competitive self-organizing neural network; efficiency of calculation; energy function; labels; learning; local features; patterns; Cities and towns; Convergence; Joining processes; Neural networks; Optical computing; Pattern analysis; Performance analysis; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.716744
Filename
716744
Link To Document