Time domain analysis of reflected impulse fields by artificial neural network
The impulse fields reflected from layered medium with losses are analyzed by artificial neural network in time domain directly. The normal incidence of plane wave with Gaussian time form on layered medium is considered. The reflected electromagnetic field is obtained by FDTD method. Initial data for...
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| creator | Shyrokorad, D.V. Dumin, O.M. Dumina, O.O. |
| description | The impulse fields reflected from layered medium with losses are analyzed by artificial neural network in time domain directly. The normal incidence of plane wave with Gaussian time form on layered medium is considered. The reflected electromagnetic field is obtained by FDTD method. Initial data for neural network are the values of amplitude of electrical component of reflected field chosen with constant time step. As an example the network is trained to determine the thickness of one of the layers of the medium. |
| doi_str_mv | 10.1109/UWBUS.2008.4669380 |
| format | Conference Proceeding |
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The normal incidence of plane wave with Gaussian time form on layered medium is considered. The reflected electromagnetic field is obtained by FDTD method. Initial data for neural network are the values of amplitude of electrical component of reflected field chosen with constant time step. As an example the network is trained to determine the thickness of one of the layers of the medium.</description><subject>artificial neural network</subject><subject>Artificial neural networks</subject><subject>Electromagnetic analysis</subject><subject>Electromagnetic fields</subject><subject>Electronic mail</subject><subject>FDTD</subject><subject>Finite difference methods</subject><subject>Frequency estimation</subject><subject>impulse fields</subject><subject>layered medium</subject><subject>Rail transportation</subject><subject>Signal analysis</subject><subject>time domain</subject><subject>Time domain analysis</subject><subject>Ultra wideband technology</subject><isbn>9781424427383</isbn><isbn>142442738X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkE1LxDAYhAOyoK79A3rJH2hN3qRpctTFL1jx4BaPS5q8gWg_lqaL9N9bdefyDMwwhyHkmrOCc2Zu64_7-r0AxnQhlTJCszOSmUpzCVJCJbRYkcvf2DAFoM9JltInWyRLobW-IK-72CH1Q2djT21v2znFRIdARwwtugk9jd3h2CakIWLrE21mascphuiibWmPx_EP0_cwfl2RVbBLNztxTerHh93mOd--Pb1s7rZ55FU55UEZ8MKBQkSmKwjonbHOqjIYhuBV4wywxaKtmtA4FwSABJTBag5SiTW5-d-Ny8L-MMbOjvP-9ID4AV0VUSQ</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Shyrokorad, D.V.</creator><creator>Dumin, O.M.</creator><creator>Dumina, O.O.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200809</creationdate><title>Time domain analysis of reflected impulse fields by artificial neural network</title><author>Shyrokorad, D.V. ; Dumin, O.M. ; Dumina, O.O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f692d3c26eee0872fedc9aca65f90e2d6bc92090eea7bfbccf32242e4fa812463</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>artificial neural network</topic><topic>Artificial neural networks</topic><topic>Electromagnetic analysis</topic><topic>Electromagnetic fields</topic><topic>Electronic mail</topic><topic>FDTD</topic><topic>Finite difference methods</topic><topic>Frequency estimation</topic><topic>impulse fields</topic><topic>layered medium</topic><topic>Rail transportation</topic><topic>Signal analysis</topic><topic>time domain</topic><topic>Time domain analysis</topic><topic>Ultra wideband technology</topic><toplevel>online_resources</toplevel><creatorcontrib>Shyrokorad, D.V.</creatorcontrib><creatorcontrib>Dumin, O.M.</creatorcontrib><creatorcontrib>Dumina, O.O.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shyrokorad, D.V.</au><au>Dumin, O.M.</au><au>Dumina, O.O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Time domain analysis of reflected impulse fields by artificial neural network</atitle><btitle>2008 4th International Conference on Ultrawideband and Ultrashort Impulse Signals</btitle><stitle>UWBUS</stitle><date>2008-09</date><risdate>2008</risdate><spage>124</spage><epage>126</epage><pages>124-126</pages><isbn>9781424427383</isbn><isbn>142442738X</isbn><abstract>The impulse fields reflected from layered medium with losses are analyzed by artificial neural network in time domain directly. The normal incidence of plane wave with Gaussian time form on layered medium is considered. The reflected electromagnetic field is obtained by FDTD method. Initial data for neural network are the values of amplitude of electrical component of reflected field chosen with constant time step. As an example the network is trained to determine the thickness of one of the layers of the medium.</abstract><pub>IEEE</pub><doi>10.1109/UWBUS.2008.4669380</doi><tpages>3</tpages></addata></record> |
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| subjects | artificial neural network Artificial neural networks Electromagnetic analysis Electromagnetic fields Electronic mail FDTD Finite difference methods Frequency estimation impulse fields layered medium Rail transportation Signal analysis time domain Time domain analysis Ultra wideband technology |
| title | Time domain analysis of reflected impulse fields by artificial neural network |
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