The Community for Technology Leaders
RSS Icon
Subscribe
Christchurch, New Zealand
Jan. 29, 2002 to Jan. 31, 2002
ISBN: 0-7695-1453-7
pp: 318
Serge Demidenko , Massey University
Raouf Kh. Sadykhov , Belarussian State University of Informatics and Radioelectronics
Alexey N. Klimovich , Belarussian State University of Informatics and Radioelectronics
Leonid P. Podenok , Institute of Engineering Cybernetics of NAS of Belarus
Maxim E. Vatkin , Institute of Engineering Cybernetics of NAS of Belarus
ABSTRACT
The automated TV-set aster tuning system capable to control the vertical and horizontal size and position,pin cusion,trapezoid,parallelogramm and tilt has been developed.To solve the problem of non-linearity and non-symmetry approximation the neural network with activation function based on the Volterra series was used.The new algorithm invariant to oscillation of brightness based on neocognitron neural network was applied for processing the grayscale images of integ al circuits.
CITATION
Serge Demidenko, Raouf Kh. Sadykhov, Alexey N. Klimovich, Leonid P. Podenok, Maxim E. Vatkin, "Neural Networks to Solve the Problems of Control and Identification", DELTA, 2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002 2002, pp. 318, doi:10.1109/DELTA.2002.994638
5 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool