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.
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References
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)
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)
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)
Zhang, Q.J., Gupta, K.C.: Models for RF and Microwave Components. In: Neural Networks for RF and Microwave Design. Artech House, Norwood (2000)
Güneş, F., Tepe, C.: Gain-Bandwith Limitations of Microwave Transistor. RF and Microwave Computer-Aided Engineering 12, 483–495 (2002)
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)
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)
Hornik, K., Stinchcombe, M., White, H.: Multilayer Feedforward Networks are Universal Approximators. Neural Networks 2, 359–366 (1989)
Cybenko, G.: Approximation by Superpositions of a Sigmoidal Function. Math. Control Signals Systems 2, 303–314 (1989)
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© 2006 Springer-Verlag Berlin Heidelberg
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Çağlar, M.F., Güneş, F. (2006). Neural Unit Element Application for in Use Microwave Circuitry. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_103
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DOI: https://doi.org/10.1007/11840930_103
Publisher Name: Springer, Berlin, Heidelberg
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