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Neural Unit Element Application for in Use Microwave Circuitry

  • M. Fatih Çağlar
  • Filiz Güneş
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4132)

Abstract

In this work, a Neural Unit Element (NUE) is defined to be used in the analysis and synthesis of the microwave circuits. For this purpose, analysis of impedance transformation property of a transmission line segment with the parameters (βℓ , Z O ) is defined as the problem in the forward direction and synthesis of the transmission line to obtain the target impedance is also defined the problem in the reverse direction. This problem is solved using Multilayer Perceptron (MLP) with efficient training algorithm. Finally, NUE driven by 50Ω. and complex source which is very common in microwave applications and the short-circuited NUE (Stub) are given as the worked examples.

Keywords

Hide Neuron Forward Problem Reverse Problem Microwave Circuit Impedance Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Güneş, F., Gürgen, F., Torpi, H.: Signal-noise neural network model for active microwave device. IEE Proc-Circuits Devices and Systems 143, 1–8 (1996)MATHCrossRefGoogle Scholar
  2. 2.
    Güneş, F., Torpi, H., Gürgen, F.: A multidimensional signal-noise naural model for microwave transistor. IEE Proc-Circuits Devices and Systems 145(2), 111–117 (1998)CrossRefGoogle Scholar
  3. 3.
    Türker, N.: Analysis and Synthesis of RF/Microwave Planar Transmission Lines with Artificial Neural Networks. M.Sc. thesis, submitted to Yildiz Technical University, Department of Electronics and Communication Engineering (2004)Google Scholar
  4. 4.
    Zhang, Q.J., Gupta, K.C.: Models for RF and Microwave Components. In: Neural Networks for RF and Microwave Design. Artech House, Norwood (2000)Google Scholar
  5. 5.
    Güneş, F., Tepe, C.: Gain-Bandwith Limitations of Microwave Transistor. RF and Microwave Computer-Aided Engineering 12, 483–495 (2002)CrossRefGoogle Scholar
  6. 6.
    Cengiz, Y.: Design of The Microwave Amplifier with The Optimum Performance. Ph. D. thesis, submitted to Yildiz Technical University, Dep. of Electronics and Communication Eng. (2004)Google Scholar
  7. 7.
    Çağlar, M.F., Güneş, F.: Neural Networks as a Nonlinear Equation Set Solver in Analysis and Synthesis of a Microwave Circuits. In: INISTA 2005, Istanbul, June 2005, pp. 103–107 (2005)Google Scholar
  8. 8.
    Hornik, K., Stinchcombe, M., White, H.: Multilayer Feedforward Networks are Universal Approximators. Neural Networks 2, 359–366 (1989)CrossRefGoogle Scholar
  9. 9.
    Cybenko, G.: Approximation by Superpositions of a Sigmoidal Function. Math. Control Signals Systems 2, 303–314 (1989)MATHCrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • M. Fatih Çağlar
    • 1
  • Filiz Güneş
    • 2
  1. 1.Department of Electronics and Communication EngineeringSüleyman Demirel UniversityTurkey
  2. 2.Department of Electronics and Communication EngineeringYıldız Technical UniversityTurkey

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