DocumentCode
2286797
Title
Improvement of the method for uncoupled binary input-output CNN template decomposition
Author
Kék, László
Author_Institution
Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary
fYear
2002
fDate
22-24 Jul 2002
Firstpage
459
Lastpage
466
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CNNA.2002.1035084
Filename
1035084
Link To Document