Title :
Evaluation of CNN template robustness towards VLSI implementation
Author :
Kinget, Peter ; Steyaert, Michiel
Author_Institution :
Dept. Electrotech., Katholieke Univ., Leuven, Belgium
Abstract :
In this paper a method for the evaluation of the static robustness of cellular neural network (CNN) templates is proposed. From this evaluation the circuit accuracy specifications for a VLSI implementation can be derived which allows the designer to optimize the performance. Moreover, from this evaluation method guidelines for robust template designs can be derived and parameter testing templates can be developed
Keywords :
VLSI; cellular neural nets; VLSI implementation; cellular neural network; circuit accuracy specifications; parameter testing; static robustness; template robustness; Cellular neural networks; Circuit testing; Design optimization; Digital circuits; Electronic mail; Gaussian distribution; Guidelines; Hardware; Robustness; Very large scale integration;
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.1994.381645
