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Volumn 21, Issue 5, 1999, Pages 325-330

FDTD signal extrapolation using a finite impulse response neural network model

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; EXTRAPOLATION; FINITE DIFFERENCE METHOD; FIR FILTERS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; TIME DOMAIN ANALYSIS; TIME SERIES ANALYSIS; WAVEGUIDE COMPONENTS;

EID: 0032668347     PISSN: 08952477     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1098-2760(19990605)21:5<325::AID-MOP6>3.0.CO;2-C     Document Type: Article
Times cited : (8)

References (15)
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  • 2
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    • Review of FDTD numerical modeling of electromagnetic wave scattering and radar cross section
    • A. Taflove and K.R. Umashankar, Review of FDTD numerical modeling of electromagnetic wave scattering and radar cross section, Proc IEEE 77 (1989), 682-699.
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  • 3
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    • Time-domain finite difference approach to the calculation of the frequency-dependent characteristics of microstrip discontinuities
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    • (1988) IEEE Trans Microwave Theory Tech , vol.36 , pp. 1775-1787
    • Zhang, X.1    Mei, K.K.2
  • 4
    • 0030190026 scopus 로고    scopus 로고
    • Some considerations on the accuracy of the non uniform FDTD method and its application to waveguide analysis when combined with the perfect matched layer technique
    • July
    • E.A. Navarro, N.T. Sangary, and J. Litva, Some considerations on the accuracy of the non uniform FDTD method and its application to waveguide analysis when combined with the perfect matched layer technique, IEEE Trans Microwave Theory Tech (July 1996).
    • (1996) IEEE Trans Microwave Theory Tech
    • Navarro, E.A.1    Sangary, N.T.2    Litva, J.3
  • 5
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    • Combining an autoregressive (AR) model with the FDTD algorithm for improved computational efficiency
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    • (1993) IEEE MTT-S Symp Dig , pp. 749-752
    • Chen, J.1    Wu, C.2    Wu, K.-L.3    Litva, J.4
  • 6
    • 0028442695 scopus 로고
    • FDTD signal extrapolation using the forward-backward autoregressive (AR) model
    • V. Jandhyala, E. Michielssen, and R. Mittra, FDTD signal extrapolation using the forward-backward autoregressive (AR) model, IEEE Microwave Guided Wave Lett 4 (1994), 163-165.
    • (1994) IEEE Microwave Guided Wave Lett , vol.4 , pp. 163-165
    • Jandhyala, V.1    Michielssen, E.2    Mittra, R.3
  • 8
    • 0025488663 scopus 로고
    • 30 years of adaptive neural networks: Perceptron, madaline, and backpropagation
    • B. Widrow and M. Lehr, 30 years of adaptive neural networks: Perceptron, madaline, and backpropagation, Proc IEEE (1990), 1415-1442.
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  • 9
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    • P. Werbos, Backpropagation through time: What it does and how to do it, Proc IEEE (Special issue on Neural Networks) (Oct. 1990), 1550-1560.
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  • 12
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    • An application of autoregressive process to speed-up finite difference time domain method for solving electromagnetic problems
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    • C. Wu, An application of autoregressive process to speed-up finite difference time domain method for solving electromagnetic problems, Pr. EE731, McMaster University, Dec. 1994.
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  • 14
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    • Combination of finite impulse response neural network technique with FDTD method for simulation of electromagnetic problems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.