Title :
Improvement of the method for uncoupled binary input-output CNN template decomposition
Author_Institution :
Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
This paper proposes an improved method for systematic decomposition of Boolean operators into a sequence of simpler ones. The improvement has two main components: (i) a sufficient condition for decreasing the number of possible child-templates during decomposition; (ii) pointing out the template element, the elimination of which results in the possibly maximum increment of the robustness value of the template. Examples are presented to demonstrate the effectiveness of the proposed method, whose advantages and limitations are also discussed.
Keywords :
cellular neural nets; neural chips; child templates; robustness value; systematic Boolean operator decomposition; uncoupled binary input-output cellular neural net/nonlinear template decomposition; Cellular networks; Cellular neural networks; Design methodology; Fault tolerance; Laboratories; Logic functions; Robustness; Software libraries; Sufficient conditions; Testing;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
DOI :
10.1109/CNNA.2002.1035084