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Design of a Broadband Microwave Amplifier Using Neural Performance Data Sheets and Very Fast Simulated Reannealing

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

In this work, the neural performance data sheets of the transistor are employed to determine the feasible design target space in the optimization of a microwave amplifier. The basic amplifier with a single transistor between the input and output matching circuits (IMC and OMC) is also worked out. Very Fast Simulated Reannealing (VFSR) is utilized in the multi – objective optimization process for the global minimum of the objective function which is expressed as a function only gain of a matching circuit, in the negative exponential form to ensure the rapid convergence.

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Authors and Affiliations

  1. Süleyman Demirel University, Isparta, Turkey

    Yavuz Cengiz & Hüseyin Göksu

  2. Yıldız Technical University, Istanbul, Turkey

    Filiz Güneş

Authors
  1. Yavuz Cengiz
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  2. Hüseyin Göksu
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  3. Filiz Güneş
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Cengiz, Y., Göksu, H., Güneş, F. (2006). Design of a Broadband Microwave Amplifier Using Neural Performance Data Sheets and Very Fast Simulated Reannealing. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_119

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  • DOI: https://doi.org/10.1007/11760191_119

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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