DocumentCode
1841779
Title
Pattern recognition and learning in bistable CAM networks
Author
Chinarov, Vladimir ; Dudziak, Martin ; Menzinger, Michael ; Kyrpach, Yuri
Author_Institution
Dept. of Chem., Toronto Univ., Ont., Canada
Volume
3
fYear
1999
fDate
1999
Firstpage
1550
Abstract
The presented study concerns problems of learning, pattern recognition and computational abilities in an homogeneous network composed from coupled bistable units. New possibilities for pattern recognition may be realized due to the developed technique permitting reconstruction of a dynamical system using distributions of its attractors. In both cases the updating procedure for the coupling matrix uses the minimization of least-mean-square errors between the applied and desired patterns
Keywords
content-addressable storage; learning (artificial intelligence); least mean squares methods; neural nets; pattern recognition; bistable CAM networks; computational abilities; coupled bistable units; coupling matrix; dynamical system; homogeneous network; least-mean-square errors; updating procedure; Biological system modeling; CADCAM; Chemistry; Computer aided manufacturing; Computer networks; Electronic mail; Intelligent networks; Oscillators; Pattern recognition; Potential well;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.832600
Filename
832600
Link To Document