Title :
Implementation of a cellular neural network over an optical computer
Author :
Gomez-Ramirez, E. ; Ramos-Viterbo, V. ; Alencastre-Miranda, M. ; Flores-Mendez, A. ; De Tagle, A. Sanchez
Author_Institution :
Lab. del Centro de Investigacion, Universidad La Salle, Spain
Abstract :
In the last decade many artificial neural network algorithms have been developed of for different purposes. One of the most important algorithms is the cellular neural network (CNN). This algorithm has been used mainly for image processing and pattern recognition because of its parallel nature and it can be implemented on VLSI circuits. There are a few works using optical computers like Hopfield and BAM networks. In this paper an implementation of the algorithm of CNN over an optical computer is presented
Keywords :
cellular neural nets; image recognition; optical computing; parallel processing; CCD camera; cellular neural network; image processing; image recognition; optical computer; parallel processing; Artificial neural networks; Cellular neural networks; Circuits; Computer networks; Image processing; Magnesium compounds; Optical computing; Optical fiber networks; Pattern recognition; Very large scale integration;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566615
