EC-ANN modeling approach for CPW discontinuities

Author

Hu, Jiang ; Sun, Lingling

Author_Institution

Microelectron. CAD Center, Hangzhou Dianzi Universty, China

fYear

2004

fDate

23-25 Sept. 2004

Firstpage

193

Lastpage

197

Abstract

A novel, accurate and efficient equivalent circuit trained artificial neural-network (EC-ANN) model, which inherits and develops the advantages of EC and EM-ANN models, has been developed for coplanar waveguide (CPW) discontinuities. Modeled discontinuities for which the validation tests are performed include: CPW open stub; gap; air-bridge. These models allow for circuit design, simulation, and optimization within a CAD simulator.

Keywords

circuit optimisation; circuit simulation; computational electromagnetics; coplanar waveguide components; equivalent circuits; microwave integrated circuits; neural nets; waveguide discontinuities; CAD simulator; CPW discontinuities; MIC; air-bridge; circuit design; circuit optimization; circuit simulation; coplanar waveguide discontinuities; equivalent circuit trained artificial neural-network model; gap; microwave integrated circuits; open stub; Artificial neural networks; Circuit simulation; Coplanar waveguides; Equivalent circuits; Frequency; Geometry; MMICs; Parameter extraction; Solid modeling; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on

Print_ISBN

0-7803-8547-0

Type

conf

DOI

10.1109/NEUREL.2004.1416570

Filename

1416570