DocumentCode :
3567141
Title :
NNKBN model for the microstrip T-junction structure
Author :
Jingsong Hong ; Bing-zhong Wang
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume :
2
fYear :
2003
Firstpage :
92
Abstract :
A novel three-layer neural network with knowledge-based neurons in the hidden layer (NNKBN) has been applied to model the microstrip T-junction structure. The NNKBN model is electromagnetically developed with a set of data that are produced by the MoM method. Numerical experiments show that the NNKBN model has many advantages over the conventional multi-layer perceptron model.
Keywords :
circuit simulation; knowledge based systems; method of moments; microstrip circuits; neural nets; MoM; NNKBN model; hidden layer knowledge-based neurons; microstrip T-junction structure; three-layer neural network; Circuits; Finite difference methods; Frequency; Message-oriented middleware; Microstrip; Neural networks; Neurons; Stripline; Time domain analysis; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2003. IEEE
Print_ISBN :
0-7803-7846-6
Type :
conf
DOI :
10.1109/APS.2003.1219187
Filename :
1219187
Link To Document :
بازگشت