EVALUATION OF CNN TEMPLATE ROBUSTNESS TOWARDS VLSI IMPLEMENTATION
Peter R. Kinget, Michiel S. J. Steyaert · International Journal of Circuit Theory and Applications · 1996
In this paper a method for the evaluation of static robustness towards random variations in cellular neural network (CNN) templates is proposed. From this evaluation, circuit accuracy specifications for a VLSI implementation are derived which allow the designer to optimize the performance. Moreover, from this evaluation method, guidelines for robust template designs are derived and parametric testing templates are developed.