Analysis of fields reflected from model of human body surface using artificial neural network in time domain
dc.contributor.author | Shyrokorad, D. V. | |
dc.contributor.author | Dumin, O. M. | |
dc.contributor.author | Dumina, O. O. | |
dc.contributor.author | Katrich, V. O. | |
dc.date.accessioned | 2010-06-10T06:17:20Z | |
dc.date.available | 2010-06-10T06:17:20Z | |
dc.date.issued | 2009 | |
dc.description.abstract | The problem of determination of thickness a layer of layered medium by impulse irradiation is considered. The impulse fields reflected from the model of human body surface are analyzed by artificial neural network in time domain directly. The normal incidence of plane wave with Gaussian time form on the layered medium with losses is considered. The reflected electromagnetic field is obtained by FDTD method. Initial data for neural network analysis are the values of amplitude of electrical component of reflected field. As an example, the network is trained to determine the thickness of one of the layers of the medium. The stability of the determination in presence of interferences, experimental errors and instabilities of medium parameters is investigated by numerical simulation. | uk_UA |
dc.identifier.citation | Analysis of fields reflected from model of human body surface using artificial neural network in time domain / D. V. Shyrokorad, O. M. Dumin, O. O. Dumina, V. O. Katrich // Теорія та техніка антен : матеріали 7-ої Міжнародної конференції, 9–12 червня 2009 року, Львів, Україна. – Львів : Видавництво Національного університету "Львівська політехніка", 2009. – C. 351–353. – Bibliography: 6 titles. | uk_UA |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/4441 | |
dc.language.iso | en | uk_UA |
dc.publisher | Видавництво Національного університету "Львівська політехніка" | uk_UA |
dc.subject | time domain | uk_UA |
dc.subject | FDTD | uk_UA |
dc.subject | artificial neural network | uk_UA |
dc.subject | impulse fields | uk_UA |
dc.subject | layered medium | uk_UA |
dc.title | Analysis of fields reflected from model of human body surface using artificial neural network in time domain | uk_UA |
dc.type | Article | uk_UA |