Cad models for coplanar waveguide synthesis using artificial neural network

IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India)

Volumn 18, Issue 2-3, 2001, Pages 123-129

  Salivahanan, S ^a   Ramesh, R ^b   Karthikeyan, S ^c   Raju, S ^c   Abhaikumar, V ^c  

^a MEPCO SCHLENK ENGINEERING COLLEGE   (India)

^b UNIVERSITY OF COLORADO   (United States)

^c THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION ALGORITHM; NETWORK TRAINING; QUASI-STATIC ANALYSIS; WAVEGUIDE SYNTHESIS MODELS;

ALGORITHMS; BACKPROPAGATION; COMPUTER AIDED DESIGN; CORRELATION METHODS; ELECTRIC IMPEDANCE; ESTIMATION; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; MILLIMETER WAVE DEVICES; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; PERMITTIVITY;

WAVEGUIDES;

EID: 0035294810     PISSN: 02564602     EISSN: 09745971     Source Type: Journal    
DOI: 10.1080/02564602.2001.11416953     Document Type: Article

References (22)

1. C, Veyers & V F, Hanna, Extension of the application of conformal techniques to coplanar lines with finite dimensions, Int J Electron, vol 48, pp 47–56, 1980.
2. G, Ghione & C, Naldi, Analytical formula for coplanar lines in hybrid & (monolithic) MICs, Electron Lett, vol 20, pp 179–181, 1984.
3. B C, Wadell, Transmission Line Design Handbook, Norwood, MA:Artech House, 1991.
4. K C, Gupta, R, Garg, I J, Bahl & P, Bhartia, Microstrip Lines and Slotlines, Norwood, MA:Artech House, 1996.
5. R K, Hoffmann, Handbook of Microwave Integrated Circuits, Norwood, MA:Artech House, 1987.
6. Y C, Shih & T, Itoh, Analysis of conductor backed coplanar waveguide, Electron Lett, vol 18, pp 538–544, 1982.
7. S S, Bedair & I, Wolff, Fast, accurate & simple approximate analytic formulas for calculating the parameters of supported coplanar waveguide for (M)MIC's, IEEE Trans Microwave Theory Tech, vol 40, pp 41–48, Jan 1992.
8. T, Deng, CAD model for coplanar waveguide synthesis, IEEE Microwave Theory Tech, vol 44, no 10, pp 1733–1738, Oct 1996.
9. V B, Litovksi, et al, MOS transistor modeling using neural network, Electon Lett, vol 28, no 18, pp 1766–1768, Aug 1992.
10. G L, Creech, et al, Artificial neural networks for fast and accurate EM-CAD of microwave circuits, IEEE Trans Microwave Theory Tech, vol 45, no 5, pp 794–802, May 1997.
11. A H, Zaabab, Q J, Zhang & M, Nakhla, A neural network modeling approach to circuit optimization & statistical design, IEEE Trans Microwave Theory Tech, vol 43, no 6, pp 1349–1358, June 1995.
12. A, Velusami, M S, Nakhla & Q J, Zhang, The application of neural networks to EM-based simulation and optimization of interconnects in high speed VLSI circuits, IEEE Trans Microwave Theory Tech, vol 45, no 5, pp 712–723, May 1997.
13. A H, Zaabab, Q J, Zhang & M S, Nakhla, Device and circuit-level modeling using neural networks with faster training based on network sparsity, IEEE Trans Microwave Theory Tech, vol 45, no 10, pp 1696–1704, Oct 1997.
14. P M, Watson & K C, Gupta, EM-ANN models for microstrip vias and interconnects in dataset circuits, IEEE Trans Microwave Theory Tech, vol 44, no 12, pp 2495–2503, Dec 1996.
15. P M, Watson & K C, Gupta, Design and optimization of CPW circuits using EM-ANN models for CPW components, IEEE Trans Microwave Theory Tech, vol 45, no 12, pp 2515–2523, Dec 1997.
16. T, Horng, C, Wang, & N G, Alexopoulos, Microstrip circuit design using neural networks, MTT-S Int Microwave Symp Dig, pp 413–416, 1993.
17. M, Vai & S, Prasad, Microwave circuit analysis and design by a massively distributed computing network, IEEE Trans Microwave Theory Tech, vol 43, no 5, pp 1087–1094, May 1995.
18. M, Vai & S, Prasad, Reverse modeling of microwave circuits with bidirectional neural network models, IEEE Trans Microwave Theory Tech, vol 46, no 10, pp 1492–1494, Oct 1998.
19. Neural Network Toolbox User's Guide, ver 2.0, The Mathworks, Inc, Natick, MA, 1994.
20. B, Kosko, Neural Networks and Fuzzy systems, Englewood Cliffs, NJ:Prentice-Hall, 1992.
21. E, Sanchez-Sinencio & C, Lau, (Ed), Artificial Neural Networks:Paradigms, Applications and Hardware Implementations, Piscataway, NJ:IEEE press, 1992.
22. R, Scheaffer & J, McClave, Statistics for Engineers, Boston, MA:Duxbury Press, pp 258–262, 1982.