Design of a Substrate Integrated Waveguide power divider that uses a neural network

Author

Li, Jin ; Dong, Tianlin

Author_Institution

Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

Volume

7

fYear

2010

fDate

16-18 April 2010

Abstract

One of the problem in Substrate Integrated Waveguide (SIW) power dividers design is that the simulation often needs plenty of calculation, so it tends to take a long time to optimize the parameters. This paper provides a new approach for the design of substrate integrated waveguide power dividers based on a back-propagation neural network. The design of a 10 GHz SIW power divider is presented, and we introduce a BP neural network to optimize the parameters. The results show that the neural network can help to optimize parameters and make the design more efficiently.

Keywords

circuit optimisation; electronic engineering computing; neural nets; power dividers; substrate integrated waveguides; telecommunication computing; SIW power divider; back propagation neural network; frequency 10 GHz; substrate integrated waveguide; Circuits; Costs; Design engineering; Design optimization; Neural networks; Planar waveguides; Power dividers; Power engineering and energy; Rectangular waveguides; Waveguide components; back-propagation neural network; power divider; substrate integrated waveguide (SIW);

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485524

Filename

5485524