Practical aspects of complex permittivity reconstruction with neural-network-controlled FDTD modeling of a two-port fixture

Journal of Microwave Power and Electromagnetic Energy

Volumn 41, Issue 4, 2007, Pages 81-94

  Eves, E Eugene ^a   Murphy, Ethan K ^b   Yakovlev, Vadim V ^c  

^a Ferrite Company Inc   (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

^c WORCESTER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Artificial neural network; Complex permittivity; Dielectric constant; FDTD modeling; Loss factor; S parameters; Waveguide

Indexed keywords

ACETONE; COMPLEX NETWORKS; DATA COMMUNICATION SYSTEMS; DIELECTRIC MATERIALS; FINITE DIFFERENCE TIME DOMAIN METHOD; FIXTURES (TOOLING); INFORMATION ANALYSIS; INVERSE PROBLEMS; NEURAL NETWORKS; NUMERICAL METHODS; SCATTERING PARAMETERS; WAVEGUIDES;

COMPLEX PERMITTIVITY; COMPLEX PERMITTIVITY RECONSTRUCTION; FDTD MODEL; LOSS FACTOR; LOW DIELECTRIC CONSTANTS; OPTIMIZATION ALGORITHMS; REFLECTION AND TRANSMISSION COEFFICIENTS; TRANSMISSION COEFFICIENTS;

PERMITTIVITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; ELECTRIC CONDUCTIVITY; FINITE ELEMENT ANALYSIS; MICROWAVE RADIATION; THEORETICAL MODEL;

COMPUTER SIMULATION; ELECTRIC CONDUCTIVITY; FINITE ELEMENT ANALYSIS; MICROWAVES; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER);

EID: 45549096347     PISSN: 08327823     EISSN: None     Source Type: Journal    
DOI: 10.1080/08327823.2006.11688572     Document Type: Article

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