… RF MEMS switches as proposed in same paper. The overall arm length of patch is changed
by activating and deactivating the switches … is to design, optimize MEMS switch and see the …

… ANN … back-propagation algorithm) of matlab is used to optimize the RF switch [5, 10l3]. The
input … The main emphasis in this paper is to design and after that optimize MEMS switch and …

… In this paper a modeling methodology for RF MEMS switches based on neural
approaches has been shown. It has been started from the neural model aimed to predict the …

… Eventually, we have proposed an RF MEMS switch based on the ANN approach for C- band
applications. The required supply voltage is 7.4 V, critical stress is 0.91 MPa, insertion loss …

… MEMS switches using ANN. The novelty of this work lies in the creation of a dedicated dataset
for the considered RF MEMS switch … of RF MEMS switches in different aspects using ANN …

… based on ANN for analyzing the losses in ON and OFF state of lateral RF MEMS series switch
by … The first MEMS switch was demonstrated in 1971 using electrostatic actuation used to …

… One of the great challenges is designing high performance RF MEMS switches is … ANN id
developed in this work to predict the S11 parameter associated with a RF MEMS shunt switch …

… set for the inverse models the use of the direct ANN model of the RF MEMS switch is proposed
in this paper. Namely, as the direct ANN models give response instantaneously, the time …

… The introduced MEMS switch is capable of accomplishing high speed … RF MEMS switch is
designed, fabricated and characterized. Comparing the ECPW switch to normal CPW switches…

… (FFBP) algorithm of artificial neural network is used to optimize the switch. The input data is
… ANN [11-12, 14]. The main emphasis in this paper is to design and optimize RF MEMS switch …