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Directions for the Next Generation of MMIC Devices and Systems pp 389–395Cite as

Ann and Knowledge-Based Approaches for Microwave Design

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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.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Colorado at Boulder, Boulder, CO, 80309-0425, USA

    K. C. Gupta

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  1. K. C. Gupta
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Editor information

Editors and Affiliations

  1. Weber Research Institute, Polytechnic University, Farmingdale, New York, USA

    Nirod K. Das

  2. Weber Research Institute, Polytechnic University, Brooklyn, New York, USA

    Henry L. Bertoni

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© 1997 Springer Science+Business Media New York

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Gupta, K.C. (1997). Ann and Knowledge-Based Approaches for Microwave Design. In: Das, N.K., Bertoni, H.L. (eds) Directions for the Next Generation of MMIC Devices and Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1480-4_43

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  • DOI: https://doi.org/10.1007/978-1-4899-1480-4_43

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-1482-8

  • Online ISBN: 978-1-4899-1480-4

  • eBook Packages: Springer Book Archive

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