G. H. Yang

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A modeling technique based on RBF neural network is presented for the design of RF MEMS phase shifter. Three sensitive parameters are selected according to complicated three-dimensional structure design of an RF MEMS phase shifter and used as inputs of neural network. Experiments show that the proposed approach in this paper is a high efficiency modeling(More)
A modeling technique based on RBF neural network is presented for the design of RF MEMS phase shifter. Three sensitive parameters are selected according to complicated three-dimensional structure design of an RF MEMS phase shifter and used as inputs of neural network. Experiments show that the proposed approach in this paper is a high efficiency modeling(More)
The operating principle of the RF MEMS phase shifter is described. Two improved design approaches based on the CPW discontinuities to decrease the return loss are proposed. By using network theory and CST microwave studio simulation tool, the proposed RF MEMS phase shifters are modeled. Simulation results for the two designs are compared and discussed based(More)
In order to present an exhaustive exploration of the optical properties of a Bulls-eye structure consisting of a circular annular aperture surrounded with several concentric periodic grooves in a conductor film, we calculated and analyzed a series of transmission spectra of the proposed structure in terahertz (THz) range and demonstrate that the number of(More)
An Efficient modeling technique based on immune algorithm and BP neural network is presented for the design of RF MEMS phase shifter. Three sensitive parameters are selected according to complicated three-dimensional structure design of an RF MEMS phase shifter and used as inputs of neural network. In the model, immune algorithm is first used for global(More)
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