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Fast and efficient calculation of the multilayered shielded Green's functions employing neural networks
Author(s) -
García Juan Pascual,
Rebenaque David Cañete,
Pereira Fernando D. Quesada,
Tornero Jose L. Gómez,
Melcón Alejandro Alvarez
Publication year - 2004
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.20548
Subject(s) - shielded cable , green s , artificial neural network , set (abstract data type) , microwave , function (biology) , electronic circuit , computer science , radial basis function , integral equation , topology (electrical circuits) , electronic engineering , algorithm , engineering , mathematics , telecommunications , mathematical analysis , electrical engineering , artificial intelligence , evolutionary biology , biology , programming language
In this paper, neural networks are used to efficiently calculate the multilayered media boxed Green's functions needed in integral equation (IE) formulations. The analysis of complex multilayered shielded circuits is computationally time consuming, due to the need to calculate the multilayered‐media boxed Green's functions. Using neural networks as radial basis function networks, the boxed Green's functions can be calculated quickly, thus greatly reducing the computational time associated with the analysis of practical circuits. Once the neural network is trained with a known set of pairs of inputs and outputs, new outputs are quickly calculated, thus increasing the efficiency of the IE method. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 44: 61–66, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20548