Single-Electron-Based Flexible Multivalued Exclusive-or Logic Gate

2009 ◽  
Vol 56 (5) ◽  
pp. 1048-1055 ◽  
Author(s):  
Sang-Jin Kim ◽  
Chang-Keun Lee ◽  
Rae-Sik Chung ◽  
Eun-Sil Park ◽  
Seung-Jun Shin ◽  
...  
2007 ◽  
Author(s):  
S. J. Kim ◽  
C. K. Lee ◽  
R. S. Chung ◽  
M. S. Kim ◽  
E. S. Park ◽  
...  

Author(s):  
Anthony M. Roy ◽  
Erik K. Antonsson ◽  
Andrew A. Shapiro

Control tasks involving dramatic non-linearities, such as decision making, can be challenging for classical design methods. However, autonomous stochastic design methods have proved effective. In particular, Genetic Algorithms (GA) that create phenotypes by the application of genotypes comprising rules are robust and highly scalable. Such encodings are useful for complex applications such as artificial neural net design. This paper outlines an evolutionary algorithm that creates C++ programs which in turn create Artificial Neural Networks (ANNs) that can functionally perform as an exclusive-OR logic gate. Furthermore, the GAs are able to create scalable ANNs robust enough to feature redundancies that allow the network to function despite internal failures.


in our manuscript, various circuits for arithmetic summation are compared. Cadence 90nm technology and Quartus II EP2C20F484C7 are used for implementation of design. Logic gate-based adders, PFCA, TG and HSD technique-based adders characteristics are analyzed. Y finding is PFCA with 10T transistor performs slightly efficient compare to its counterpart. Exclusive OR-NOR design is optimum for least delay Adders for high performance energy efficient processing unit.


2002 ◽  
Vol 38 (11) ◽  
pp. 527 ◽  
Author(s):  
Dae Hwan Kim ◽  
Kyung Rok Kim ◽  
Suk-Kang Sung ◽  
Jong Duk Lee ◽  
Byung-Gook Park

Sign in / Sign up

Export Citation Format

Share Document