Title :
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
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);
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485524