Title page for etd-0726105-011342


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URN etd-0726105-011342
Author Yung-Chen Chou
Author's Email Address M923010072@student.nsysu.edu.tw
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Department Electrical Engineering
Year 2004
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Incorporation of Finite Impulse Response Neural Network into the FDTD Method
Date of Defense 2005-07-19
Page Count 87
Keyword
  • Finite-Difference Time Domain
  • artificial neural networks
  • Finite Impulse Response Neural Networks
  • Abstract The Finite-Difference Time-Domain Method (FDTD) is a very powerful numerical method for the full wave analysis electromagnetic phenomena. Due to its flexibility, it can be used to solve numerous electromagnetic scattering problems on microwave circuits, dielectrics, and electromagnetic absorption in biological tissue at microwave frequencies.
    However, it needs so much computation time to simulate microwave integral circuits by applying the FDTD method. If the structure we simulated is complicated and we want to obtain accurate frequency domain scattering parameters, the simulation time will be so much longer that the efficiency of simulation will be bad as well. Therefore, in the thesis, we introduce an artificial neural networks (ANN) method called “Finite Impulse Response Neural Networks (FIRNN)” can speed up the FDTD simulation time. In order to boost the efficiency of the FDTD simulation time by stopping the simulation after a sufficient number of time steps and using FIRNN as a predictor to predict time series signal.
    Advisory Committee
  • Tzyy-Sheng Horng - chair
  • Tzong-Lin Wu - co-chair
  • Ken-Huang Lin - co-chair
  • Ming-Cheng Liang - co-chair
  • Chih-Wen Kuo - advisor
  • Files
  • etd-0726105-011342.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2005-07-26

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