Title :
Artificial neural networks for accurate microwave CAD applications
Author :
Creech, G.L. ; Paul, B. ; Lesniak, C. ; Jenkins, T. ; Lee, R. ; Calcatera, M.
Author_Institution :
Wright Lab., Solid State Electron. Directorate, Wright-Patterson AFB, OH, USA
Abstract :
A unique approach for applying neurocomputing technology for accurate CAD of microwave circuits is described. In our proposed method, a multilayer perceptron neural network (MLPNN) is trained to predict the scattering parameters of MMIC passive elements based on the element´s physical dimensions. The s-parameters were obtained by performing a full-wave electromagnetic (EM) analysis of these elements. An X-band MLPNN spiral inductor model is developed. The MLPNN computed s-parameter values are in excellent agreement with those obtained from EM simulations with correlations greater than 0.99 for all modelled parameters.
Keywords :
MMIC; S-parameters; circuit CAD; integrated circuit design; integrated circuit modelling; multilayer perceptrons; CAD; EM simulation; MMIC passive elements; X-band spiral inductor model; artificial neural network; full-wave electromagnetic analysis; microwave circuit; multilayer perceptron neural network; neurocomputing technology; scattering parameters; Artificial neural networks; Electromagnetic analysis; MMICs; Microwave circuits; Microwave technology; Multi-layer neural network; Multilayer perceptrons; Neural networks; Performance analysis; Scattering parameters;
Conference_Titel :
Microwave Symposium Digest, 1996., IEEE MTT-S International
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-3246-6
DOI :
10.1109/MWSYM.1996.511043
