Design and Simulation of OR Logic Gate Using RF MEMS Resonators

Author(s):  
Mahdi Attar ◽  
Reza Askari Moghadam ◽  
Alireza Rezaee
2010 ◽  
Vol 46 (9) ◽  
pp. 640 ◽  
Author(s):  
J. Giner ◽  
A. Uranga ◽  
F. Torres ◽  
E. Marigó ◽  
N. Barniol

2006 ◽  
Author(s):  
S. Enderling ◽  
H. Lin ◽  
J. T. M. Stevenson ◽  
A. S. Bunting ◽  
A. J. Walton
Keyword(s):  
Rf Mems ◽  

2004 ◽  
Vol 14 (4) ◽  
pp. 302-316 ◽  
Author(s):  
Yongjae Lee ◽  
Yonghwa Park ◽  
Feng Niu ◽  
Bonnie Bachman ◽  
K.C. Gupta ◽  
...  

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.


2010 ◽  
Vol 19 (4) ◽  
pp. 807-815 ◽  
Author(s):  
Maxim K. Zalalutdinov ◽  
Joshua D. Cross ◽  
Jeffrey W. Baldwin ◽  
Bojan R. Ilic ◽  
Wenzhe Zhou ◽  
...  
Keyword(s):  
Rf Mems ◽  

2009 ◽  
Vol 56 (5) ◽  
pp. 1048-1055 ◽  
Author(s):  
Sang-Jin Kim ◽  
Chang-Keun Lee ◽  
Rae-Sik Chung ◽  
Eun-Sil Park ◽  
Seung-Jun Shin ◽  
...  

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