Recent advances of neural network-based EM-CAD

International Journal of RF and Microwave Computer-Aided Engineering

Volumn 20, Issue 5, 2010, Pages 502-511

  Kabir, Humayun ^a   Yu, Ming ^b   Zhang, Q J ^a  

^a CARLETON UNIVERSITY   (Canada)

^b COM DEV Ltd Cambridge ^*  (Canada)

Author keywords

CAD; inverse modeling; microwave filter; neural networks

Indexed keywords

CAD; CIRCUIT SIMULATORS; CIRCUIT-LEVEL SIMULATION; COMPUTATIONAL COSTS; DATA GROUPS; DERIVATIVE INFORMATION; DESIGN AND OPTIMIZATION; DESIGN APPLICATIONS; DESIGN APPROACHES; ELECTROMAGNETIC MODELING; EM SIMULATIONS; INPUT-OUTPUT; INVERSE DESIGNS; INVERSE MODELING; INVERSE MODELS; MULTI-VALUED SOLUTION; NEURAL MODELS; NEURAL NETWORK INVERSE MODEL; NEURAL NETWORK MODELING; NONUNIQUENESS; OPTIMIZATION METHOD; PASSIVE COMPONENTS; SUBMODELS; TRAINED NEURAL NETWORKS; TRAINING DATA;

CIRCUIT SIMULATION; COMPUTER AIDED DESIGN; ELECTRIC FILTERS; INVERSE PROBLEMS; MICROWAVE FILTERS; OPTIMIZATION;

NEURAL NETWORKS;

EID: 78649309811     PISSN: 10964290     EISSN: 1099047X     Source Type: Journal    
DOI: 10.1002/mmce.20456     Document Type: Article

References (49)

1. Q.J. Zhang, K.C. Gupta, and, V.K. Devabhaktuni, Artificial neural networks for RF and microwave design-from theory to practice, IEEE Trans Microwave Theory Tech 51 (2003), 1339-1350.
2. Q.J. Zhang, and, K.C. Gupta, Neural networks for RF and microwave design, Artech House, Boston, 2000.
3. P.M. Watson, and, K.C. Gupta, EM-ANN models for microstrip vias and interconnects in dataset circuits, IEEE Trans Microwave Theory Tech 44 (1996), 2495-2503.
4. V.K. Devabhaktuni, M.C.E. Yagoub, and, Q.J. Zhang, A robust algorithm for automatic development of neural-network models for microwave applications, IEEE Trans Microwave Theory Tech 49 (2001), 2282-2291.
5. P.M. Watson, and, K.C. Gupta, Design and optimization of CPW circuits using EM-ANN models for CPW components, IEEE Trans Microwave Theory Tech 45 (1997), 2515-2523.
6. V. Rizzoli, A. Costanzo, D. Masotti, A. Lipparini, and, F. Mastri, Computer-aided optimization of nonlinear microwave circuits with the aid of electromagnetic simulation, IEEE Trans Microwave Theory Tech 52 (2004), 362-377.
7. J.E. Rayas-Sanchez, EM-based optimization of microwave circuits using artificial neural networks: the state-of-the-art, IEEE Trans Microwave Theory Tech 52 (2004), 420-435.
8. Y. Wang, M. Yu, H. Kabir, and, Q.J. Zhang, Effective design of cross-coupled filter using neural networks and coupling matrix, IEEE MTT-S Int Microwave Symp Dig, San Francisco, CA, 2006, pp. 1431-1434.
9. H. Kabir, Y. Wang, M. Yu, and, Q.J. Zhang, Neural network inverse modeling and applications to filter design, IEEE Trans Microwave Theory Tech 56 (2008), 867-879.
10. S. Haykin, Neural networks: A comprehensive foundation, IEEE Press, New York, NY, 1994.
11. K. Hornik, M. Stinchcombe, and, H. White, Multilayer feedforward networks are universal approximators, Neural Netw 2 (1989), 359-366.
12. F. Wang, V.K. Devabhaktuni, C. Xi, and, Q.J. Zhang, Neural network structures and training algorithms for microwave applications, Int J RF Microwave Comput Aided Eng 9 (1999), 216-240.
13. F. Wang, and, Q.J. Zhang, Knowledge based neural models for microwave design, IEEE Trans Microwave Theory Tech 45 (1997), 2333-2343.
14. A.H. Zaabab, Q.J. Zhang, and, M.S. Nakhla, A neural network modeling approach to circuit optimization and statistical design, IEEE Trans Microwave Theory Tech 43 (1995), 1349-1358.
15. P.M. Watson, G.L. Creech, and, K.C. Gupta, Knowledge based EM-ANN models for the design of wide bandwidth CPW patch/slot antennas, 1999 IEEE MTT-S Int Microwave Symp 4 (1999), 2588-2591.
16. J. Xu, M.C.E. Yagoub, R. Ding, and, Q.J. Zhang, Exact adjoint sensitivity analysis for neural-based microwave modeling and design, IEEE Trans Microwave Theory Tech 51 (2003), 226-237.
17. J.W. bandler, M.A. Ismail, J.E. Rayas-Sanchez, and, Q.J. Zhang, Neuromodeling of microwave circuits exploiting space-mapping technology, IEEE Trans Microwave Theory Tech 47 (1999), 2417-2427.
18. S. Koziel, and, J.W. Bandler, Microwave device modeling using space-mapping and radial basis functions, IEEE MTT-S Int Microwave Symp Dig, Honolulu, HI, 2007, pp. 799-802.
19. X. Zhang, Y. Cao, and, Q.J. Zhang, A combined transfer function and neural network method for modeling via in multilayer circuits, 2008 Midwest Symp Circuits Syst, Knoxville, TN, 2008, pp. 73-76.
20. H. Sharma, and, Q.J. Zhang, Transient electromagnetic modeling using recurrent neural networks, IEEE MTT-S Int Microwave Symp, Long Beach, CA, 2005, pp. 1597-1600.
21. A. Zhang, H. Zhang, H. Li, and, D. Chen, A recurrent neural networks based modeling approach for internal circuits of electronic devices, 20th Int Symp EMC, Zurich, Switzerland, 2009, pp. 293-296.
22. J.J. Xu, M.C.E. Yagoub, R. Ding, and, Q.J. Zhang, Neural-based dynamic modeling of nonlinear microwave circuits, IEEE Trans Microwave Theory Tech 50 (2002), 2769-2780.
23. X. Ding, V.K. Devabhaktuni, B. Chattaraj, M.C.E. Yagoub, M. Deo, J. Xu, and, Q.J. Zhang, Neural-network approaches to electromagnetic-based modeling of passive components and their applications to high-frequency and high-speed nonlinear circuit optimization, IEEE Trans Microwave Theory Tech 52 (2004), 436-449.
24. E.A. Soliman, M.H. Bakr, and, N.K. Nikolova, Neural networks-method of moments (NN-MoM) for the efficient filling of the coupling matrix, IEEE Trans Microwave Theory Tech 52 (2004), 1521-1529.
25. J.P. Garcia, F.Q. Pereira, D.C. Rebenaque, J.L.G. Tornero, and, A.A. Melcon, A neural-network method for the analysis of multilayered shielded microwave circuits, IEEE Trans Microwave Theory Tech 54 (2006), 309-320.
26. S. Liao, J. Xu, H. Kabir, Q.J. Zhang, and, J. Ma, Neural network EM-field based modeling for 3D substructures in finite element method, IEEE MTT-S Int Microwave Symp Dig, Boston, MA, 2009, pp. 517-520.
27. P. Burrascano, M. Dionigi, C. Fancelli, and, M. Mongiardo, A neural network model for CAD and optimization of microwave filters, IEEE MTT-S Int Microwave Symp Dig 1 (1998), 13-16.
28. G. Fedi, A. Gaggelli, S. Manetti, and, G. Pelosi, Direct-coupled cavity filters design using a hybrid feedforward neural network- finite elements procedure, Int J RF Microwave CAE 9 (1999), 287-296.
29. J.M. Cid, and, J. Zapata, CAD of rectangular waveguide H-plane circuits by segmentation, finite elements and artificial neural networks, IEE Electron Lett 37 (2001), 98-99.
30. A. Mediavilla, A. Tazon, J.A. Pereda, M. Lazaro, I. Santamaria, and, C. Pantaleon, Neuronal architecture for waveguide inductive iris bandpass filter optimization, Proc IEEE-INNS-ENNS Int Joint Conf Neural Netw 4 (2000), 395-399.
31. G. Fedi, A. Gaggelli, S. Manetti, and, G. Pelosi, A finite-element neural-network approach to microwave filter design, Microwave Opt Technol Lett 19 (1998), 36-38.
32. G. Fedi, S. Manetti, G. Pelosi, and, S. Selleri, Design of cylindrical posts in rectangular waveguide by neural network approach, IEEE Int Symp Antenna Propag 2 (2000), 1054-1057.
33. V. Miraftab, and, M. Yu, Innovative combline RF/Microwave filter EM synthesis and design using neural networks, URSI, Int Symp Signals, Syst, Electron, Montreal, Canada, 2007, pp. 1-4.
34. F. Nunez, and, A.K. Skrivervik, Filter approximation by RBF-NN and segmentation method, IEEE MTT-S Int Microwave Symp Dig 3 (2004), 1561-1564.
35. A.S. Ciminski, Artificial neural networks modeling for computer aided design of microwave filter, Int Conf Microwaves, Radar Wireless Commun 1 (2002), 96-99.
36. C. Chao, and, K.C. Gupta, EM-ANN modeling of overlapping open-ends in multiplayer lines for design of band pass filters, IEEE AP-S Int Symp Dig, Orlando, FL, 1999, pp. 2592-2595.
37. X. Li, J. Gao, J. Yook, and, X. Chen, Bandpass filter design by artificial neural network modeling, Proc APMC, Suzhou, China, vol. 2, 2005.
38. P.M. Watson, C. Cho, and, K.C. Gupta, Electromagnetic-Artificial neural network model for synthesis of physical dimensions for multilayer asymmetric coupled transmission structures, Int J RF Microwave CAE 9 (1999), 175-186.
39. E.N.R.Q. Fernandes, P.H.F. Silva, M.A.B. Melo, and, A.G. d'Assuncao, A new neural network model for accurate analysis of microstrip filters on PBG structure, Proc Eur Microwave Conf, Milan, Italy, 2002.
40. F. Gunez, and, N. Turker, Artificial neural networks in their simplest forms for analysis and synthesis of RF/Microwave planar transmission lines, Int J RF Microwave CAE 15 (2005), 587-600.
41. M.G. Banciu, E. Ambikairajah, and, R. Ramer, Microstrip filter design using FDTD and neural networks, Microwave Opt Technol Lett 34 (2002), 219-224.
42. R.J. Pratap, J.H. Lee, S. Pinel, G.S. May, J. Laskar, and, E.M. Tentzeris, Millimeter wave RF front end design using neuro-genetic algorithms, Proc Electron Compon Technol Conf 2 (2005), 1802-1806.
43. S.F. Peik, G. Coutts, and, R.R. Mansour, Application of neural networks in microwave circuit modeling, Proc IEEE Can Conf Electric Comput Eng, Waterloo, Canada, 1998, pp. 928-931.
44. M. Li, X. Li, X. Liao, and, J. Yu, Modeling and optimization of microwave circuits and devices using wavelet neural networks, IEEE Int Conf Commun Circuits Syst, Vancouver, Canada, 2004, pp. 1471-1475.
45. A.S. Ciminski, Artificial neural networks modeling for computer-aided design for planar band-rejection filter, Int Conf Microwave, Radar Wireless Commun 2 (2004), 551-554.
46. A. Gati, M.F. Wong, G. Alqui, and, V.F. Hanna, Neural networks modeling and parameterization applied to coplanar waveguide components, Int J RF Microwave CAE 10 (2000), 296-307.
47. M.M. Vai, S. Wu, B. Li, and, S. Prasad, Reverse modeling of microwave circuits with bidirectional neural network models, IEEE Trans Microwave Theory Tech 46 (1998), 1492-1494.
48. H. Sharma, and, Q.J. Zhang, Automated time domain modeling of linear and nonlinear microwave circuits using recurrent neural networks, Int J RF Microwave Comput Aided Eng 18 (2008), 195-208.
49. Agilent Technologies, Inc., Advanced design system (ADS) ver. 2006A, Agilent Technologies, Inc., Palo Alto, CA, 2006.