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- W3150381421 abstract "A neural-network approach is developed to investigate the inverse scattering from a perfectly conducting circular cylinder due to a normal field incidence. The neural network, is used to predict the electrical radius ka of a circular cylinder by recovering the complex coefficients of the cylindrical wave expansion of the scattered field. The neural network, therefore, is trained to model the nonlinear relation between the electrical radius and the numerical values of the complex expansion coefficients of the far field. © 1996 John Wiley & Sons, Inc." @default.
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- W3150381421 date "1996-12-20" @default.
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- W3150381421 title "A neural‐network approach to the inverse‐scattering problem from a circular conducting cylindrical scatterer" @default.
- W3150381421 doi "https://doi.org/10.1002/(sici)1098-2760(19961220)13:6<380::aid-mop18>3.3.co;2-i" @default.
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