Abstract
This paper describes usage of generalized constrained neural network with linear priors (GCNN-LP) as knowledge based neural network in resonant frequency calculation of various microstrip configurations. Linear priors can be defined as a course of previous evidence that unveils a direct in to the features of benefits, such as variables, free parameters, or their tasks of the models. Recently generalized constraint neural network with linear priors have been suggested by Hu et al. which is a step forward for this proposed work. It takes many known priors like equality, symmetry, ranking, interpolating points, etc., as prior knowledge about the problem. In this paper, GCNN-LP is applied to estimate resonant frequency of rectangular, circular, and elliptical microstrip antenna.
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References
Jacobs JP (2015) Efficient resonant frequency modeling for dual-band microstrip antennas by Gaussian process regression. IEEE Antennas Wirel Propag Lett 14:337–341
Wang F, Zhang QJ (2001) Incorporating functional knowledge into neural networks. IEEE Trans Antennas Propag 37(4):262–269
Shavlik JW (2006) An overview of research at Wisconsin on knowledge-based neural networks. IEEE Trans Antennas Propag 6(3):65–69
Modi AY, Mehta J, Pisharody N (2013) Synthesis of elliptical patch micro-strip antenna using artificial neural network. In: 2013 international conference on microwave and photonics (ICMAP), pp 1–3, Dec 2013
Kumprasert N (2000) Theoretical study of dual-resonant frequency and circular polarization of elliptical microstrip antennas. In: IEEE antennas and propagation society international symposium, vol 2, pp 1015–1020, July 2000
Gangwar SP, Gangwar RPS, Kanaujia BK, Paras (2008) Resonant frequency of circular microstrip antenna using artificial neural networks. Indian J Radio Space Phys 37:204–208
Dahele JS, Lee KF (1993) Effect of substrate thickness on the performance of circular-disk microstrip antenna. IEEE Trans Antennas Propag AP-31:358–360
Yano S, Ishimaru A (1981) A theoretical study of the input impedance of a circular microstrip disk antenna. IEEE Trans Antennas Propag AP-29:77–83
Chew WC, Kong JA (1981) Analysis of a circular microstrip disk antenna with a thick dielectric substrate. IEEE Trans Antennas Propag AP-29:68–76
Singh BK (2015) Design of rectangular microstrip patch antenna based on artificial neural network algorithm. In: 2nd international conference on signal processing and integrated networks (SPIN), pp 6–9, Nov 2015
Garg R, Bhartia P, Bhal I, Lttipiboon A (2000) Microstrip antenna design handbook, Chap 5. Archtech House, Boston, London
Qu H-B, Wang Y (2005) Associating neural networks with partially known relationships for nonlinear regressions. Springer, Berlin, Heidelberg, pp 737–746
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Divakar, T.V.S. (2019). Application of Generalized Constrained Neural Network with Linear Priors to Design Microstrip Patch Antenna. In: Panda, G., Satapathy, S., Biswal, B., Bansal, R. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 521. Springer, Singapore. https://doi.org/10.1007/978-981-13-1906-8_8
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DOI: https://doi.org/10.1007/978-981-13-1906-8_8
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