Title :
Analysis of fin line tapers by neural network
Author :
Wu, Wen ; Li, Xingguo ; Lou, Guowei
Author_Institution :
Inst. of MMW & Opt. Wave Near Sensing Tech., Nanjing Univ. of Sci. & Tech., China
Abstract :
The neural network model of a fin-line is established firstly and is combined with transmission line theory to develop a new analysis method of fin-line tapers in this paper. Since the simulation process of the neural network model is very fast, the analysis method of fin-line tapers developed is very effective and simple
Keywords :
electrical engineering computing; fin line components; fin lines; neural nets; transmission line theory; waveguide transitions; SWR; analysis method; characteristic impedance; fin line tapers; neural network model; simulation process; standing wave ratio; transmission line theory; Analytical models; Design automation; Electromagnetic analysis; Feedforward neural networks; Feeds; Finline; Frequency; Impedance; Neural networks; Transmission line theory;
Conference_Titel :
Microwave Conference, 2000 Asia-Pacific
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6435-X
DOI :
10.1109/APMC.2000.925796
