Ann and Knowledge-Based Approaches for Microwave Design

  • K. C. Gupta

Abstract

Two approaches that are likely play significant roles in the future developments of RF, microwave and millimeter-wave CAD are: (i) modeling and optimization based on artificial neural network (ANN) computing, and (ii) use of knowledge-based techniques for development of initial design and also for design training/instruction activities. This article reviews these two areas as relevant to RF and higher frequency CAD.

Keywords

Microwave Rubber GaAs Pier Boulder 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    D.I. Wu et al., Accurate numerical modeling of microstrip junctions and discontinuties, Intl. J. Microwave Mm-Wave CAE, 1:48 (1991).Google Scholar
  2. 2.
    C.M. Snowden, Microwave and millimeter-wave device and circuit design based on physical modeling, Intl. J. Microwave Mm-Wave CAE, 1:4 (1991).Google Scholar
  3. 3.
    R. J. Trew, MESFET models for microwave CAD appliations, Intl. J. Microwave Mm-Wave CAE, 1:143 (1991).Google Scholar
  4. 4.
    F. Gardiol, Electromagnetic simulation of planar microwave and millimeter-wave circuits, Special Issue of Intl. J. Microwave Mm-Wave CAE, 2:221 (1992).Google Scholar
  5. 5.
    R.J. Gilmore and M.B. Steer, Nonlinear circuit analysis using the method of harmonic balance — a review of the art, Part I, Introductory Concepts, and Part II, Advanced Concepts, Intl. J. Microwave Mm-Wave CAE, 1:22 and 159 (1991).Google Scholar
  6. 6.
    P.M. Watson and K.C. Gupta, EM-ANN models for microstrip vias and interconnects in multilayer circuits, IEEE Trans. MTT, 43:scheduled for publication (1996).Google Scholar
  7. 6.
    P.M. Watson and K.C. Gupta, EM-ANN models for microstrip vias and interconnects in multilayer circuits, IEEE Trans. MTT, 43:scheduled for publication (1996).Google Scholar
  8. 7.
    M. Green, Knowledge Aided Design, Academic Press, San Diego, CA (1992).Google Scholar
  9. 8.
    K. Hornik, M. Stinchcombe, and H. White, Multi-layered feed-forward neural networks are universal approximations, Neural Networks, 2:259 (1990).Google Scholar
  10. 9.
    J.M. Zurada, Introduction to Artificial Neural Systems, West Publishing Company, St. Paul, MN (1992).Google Scholar
  11. 10.
    S.N. Balakrishnam and R.D. Weil, Neurocontrol: a literature survey, Math. & Computer Modeling, 23:101 (1996).CrossRefGoogle Scholar
  12. 11.
    B.S. Cooper, Selected applications of neural networks in telecommunication systems, Australian Telecom. Research, 28:9 (1994).Google Scholar
  13. 12.
    T. Alvager, et al., The use of artificial neural networks in biomedical technologies: an introduction, Biomedical Inst. & Tech., 28:315 (1994).CrossRefGoogle Scholar
  14. 13.
    K. Goita, et al., Literature review of artificial neural networks and knowledge based systems for image analysis and interpretation of data in remote sensing, Canadian J. Electrical & Computer Engr., 19:53 (1994).Google Scholar
  15. 14.
    Yu.G. Smetanin, Neural networks as systems for pattern recognition: a review, Pattern Recognition & Image Analysis, 5:254 (1995).Google Scholar
  16. 15.
    J.F. Nunmaker Jr. and R.H. Sprague Jr., Applications of neural networks in manufacturing, Proc. 29th Hawaii Intl. Conference on Sys. Sci., 2:447 (1996).Google Scholar
  17. 16.
    V.B. Litovski, et al., MOS transistor modeling using neural netowrk, Electronics Ltrs., 28:1766(1992).CrossRefGoogle Scholar
  18. 17.
    F. Gunes, F. Gurgen, and H. Torpi, Signal-noise neural network model for active microwave devices, IEE Proc.-Circuits, Devices, Sys., 143:1 (1996).CrossRefGoogle Scholar
  19. 18.
    M. Vai and Z. Xu, Representing knowledge by neural networks for qualitative analysis and reasoning, IEEE Trans. on Knowledge & Data Engr., 7:683 (1995).CrossRefGoogle Scholar
  20. 19.
    G.L. Creech, et al., Artificial neural networks for accurate microwave CAD applications, MTT-S Intl. Microwave Symp. Dig. p.733 (1996).Google Scholar
  21. 20.
    P. Watson and K.C. Gupta, EM-ANN models for via interconnects in microstrip circuits, MTT-S Intl. Microwave Symp. Dig. p. 1819 (1996).Google Scholar
  22. 21.
    T. Horng, C. Wang, and N.G. Alexopoulos, Microstrip circuit design using neural networks, MTT-S Intl. Microwave Symp. Dig. p.413 (1993).Google Scholar
  23. 22.
    M. Vai, S. Prasad, and H. Wang, A Smith chart represented by a neural network and its applications, MTT-S Intl. Microwave Symp. Dig. p.1565 (1992).Google Scholar
  24. 23.
    M. Vai and S. Prasad, Microwave circuit analysis and design by a massively distributed computing network, IEEE Trans. MTT, 43:1087 (1995).CrossRefGoogle Scholar
  25. 24.
    N.S. Sengor and T. Sengor, Using neural networks for waveguide filter alignment, Proc. PIERS p.285 (1995).Google Scholar
  26. 25.
    A.H. Zaabab, Q.J. Zhang, and M. Nakhla, Analysis and optimization of Microwave circuits and devices using neural network models, IEEE Trans. MTT p.393 (1994).Google Scholar
  27. 26.
    A.H. Zaabab, Q.J. Zhang, and M. Nakhla, A neural network modeling approach to circuit optimization and statistical design, IEEE Trans. MTT 26:1349(1995).CrossRefGoogle Scholar
  28. 27.
    A. Veluswami, et al., A neural network model for propagation delays in systems with high speed VLSI interconnect networks, Proc. IEEE Custom Integrated Circuits Conf. (1995).Google Scholar
  29. 28.
    M. Vai and S. Prasad, Automatic impedance matching with a neural network, IEEE Microwave & Guided Wave Ltrs., 3:353 (1993).CrossRefGoogle Scholar
  30. 29.
    P.M. Watson and K.C. Gupta, Optimal Chamfering and EM-ANN Modeling of 90° CPW Bends, University of Colorado at Boulder, CAMPmode Technical Report (1996).Google Scholar
  31. 30.
    J. Lin and T. Itoh, Active integrated antennas, IEEE Trans. MTT, 42:2186 (1994).CrossRefGoogle Scholar
  32. 31.
    A.A. Hopgood, Systems for design and selection, Chapter 8 in Knowledge-Based Systems for Engineers and Scientists, CRC Press, Inc., Boca Raton, FL (1993).Google Scholar
  33. 32.
    M. Green, Conceptions and misconceptions of knowledge aided design, Chapter 1 in Knowledge Aided Design, Academic Press, San Diego, CA (1992).Google Scholar
  34. 33.
    C. Tong and D. Sriram, Artificial Intelligence in Engineering Design, Academic Press, San Diego, CA (1992).Google Scholar
  35. 34.
    B. Chandrasekaran, Generic tasks in knowledge-based reasoning — high-level building blocks for expert system design, IEEE Expert 1:23 (1986).CrossRefGoogle Scholar
  36. 35.
    B. Chandrasekaran, Design problem solving: a task analysis, Chapter 2 in Knowledge Aided Design, Academic Press, San Diego, CA (1992).Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • K. C. Gupta
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of Colorado at BoulderBoulderUSA

Personalised recommendations