This communication discusses the role of nonlinear algorithms in training the neural
network, which predicts the optimized RF MEMS switch dimensions. A dedicated dataset, ie …

This paper presents optimization of cantilever-based radio frequency (RF) micro-electro-
mechanical system (MEMS) technology switches using artificial neural network (ANN) …

Radio Frequency Micro Electro Mechanical System (RF MEMS) are progressing as an
enabling technology for designing low loss, high performance, power-efficient switches …

The evolution of communication technologies with high-frequency radio-frequency (RF)
devices increased the demand for compact and efficient designs. Micro-electromechanical …

Purpose This paper aims to design, optimize and simulate the Radio Frequency (RF) micro
electromechanical system (MEMS) Switch which is stimulated by electrostatically voltage …

In this paper, a target application-based design approach for RF MEMS switches using
artificial neural networks (ANN) is presented. ANN approach is used to decide the …

In this paper a novel neural approach for inverse modeling of RF MEMS switches is
presented. The approach is developed for a lumped element circuit. Artificial neural …

RF MEMS switches have been efficiently applied in various applications in communication
systems. Therefore, there is a need for reliable and accurate models of RF MEMS switches …

Artificial neural networks (ANNs) have appeared to be an alternative to the conventional
models of RF MEMS switches. In this paper, neural models of an RF MEMS capacitive …

Movable suspended microstructures are common features of sensors and devices in the
field of Micro Electro Mechanical Systems [MEMS]. This paper addresses the study of …