RF MEMS for Reconfigurable Antenna Using Gravitational Search Optimization and Artificial Neural Network
2018 ◽
Vol 27
(08)
◽
pp. 1850132
Keyword(s):
Rf Mems
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The projected method explains about the problems occurred in the combination of the MEMS switches and the complete scheme plan is resolved through choosing the finest devise limits for the plan. The devise limits, namely, length of beam, width of beam, torsion arm length, switch thickness, holes and gap were measured. At this point, the finest value of the devise limit is forecast by the aid of artificial neural network (ANN). Furthermore, the method contains the optimization method of Gravitational Search Algorithm (GSA) to optimize the input signal and so dropping the Mean Square Error (MSE). The complete scheme is executed in the operational platform of MATLAB and the outcomes were examined.
2020 ◽
Vol 19
◽
pp. 100645
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2018 ◽
Vol 29
(1)
◽
pp. 485-496
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Application of the Artificial Neural Network (ANN) Method as MPPT Photovoltaic for DC Source Storage
2019 ◽
Vol 12
(3)
◽
pp. 145
◽