DocumentCode
1643465
Title
CNN based on multi-valued neuron as a model of associative memory for grey scale images
Author
Aizenberg, Naum N. ; Aizenberg, Igor N.
Author_Institution
Dept. of Cybern., Uzhgorod Univ., Ukraine
fYear
1992
Firstpage
36
Lastpage
41
Abstract
A mathematical model of multivalued neural elements that can be used as an alternative to the basic cellular neural network (CNN) element is presented. On the basis of such CNNs, a model of the associative memory for storing gray-scale images is given. An efficient learning algorithm for the neural element and associative memory is presented
Keywords
content-addressable storage; image processing; learning (artificial intelligence); neural nets; associative memory; cellular neural network; grey scale images; learning algorithm; mathematical model; multivalued neural elements; Associative memory; Cellular neural networks; Cybernetics; Filtering; Image processing; Image recognition; International collaboration; Neurons; Signal design; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on
Conference_Location
Munich
Print_ISBN
0-7803-0875-1
Type
conf
DOI
10.1109/CNNA.1992.274330
Filename
274330
Link To Document