Title :
Digitally controllable weights in current mode cellular neural networks
Author :
Paasio, A. ; Dawidziuk, A. ; Halonen, K. ; Porra, V.
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
Current mode CNN with adjustable weights is discussed. Two main possible solutions are considered: continuous and discrete control. The solutions are compared on very general level and the discrete control is taken into detailed investigation. A test chip has been designed. Simulation and measurement results are reported
Keywords :
cellular logic; cellular neural nets; neural chips; adjustable weights; continuous control; current mode cellular neural networks; digitally controllable weights; discrete control; measurement result; simulation; test chip; Cellular neural networks; Digital control; Electronic circuits; Intelligent networks; Laboratories; Mirrors; Size control; Switches; Threshold voltage; Weight control;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381704
