Title :
The comparision of some properties for various digital CNN
Author :
Emil Raschman;Daniela Durackova
Author_Institution :
Dept. of Microelectronics, Bratislava Slovak University of Technology, Ilkovicova 3, 812 19, Slovak Republic
Abstract :
Our contribution paper deals with comparison of the new architecture of CNN with another two digital networks. The most area on a chip occupy multipliers, therefore we proposed CNN network, where multiplication in the input with weight is realized by AND block , while multiplied signal is special distributed in the time. All the designed networks are digital and we compare the parameters as the speed and chip area consumption. From the comparison we can recognize that our proposed digital CNN network is the best from the other ones.
Keywords :
"Cellular neural networks","Data processing","Biological neural networks","Image processing","Information processing","Concurrent computing","Pattern recognition","Digital circuits","Computer networks","Neurons"
Conference_Titel :
Radioelektronika, 2009. RADIOELEKTRONIKA ´09. 19th International Conference
Print_ISBN :
978-1-4244-3537-1
DOI :
10.1109/RADIOELEK.2009.5158766