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Volumn 41, Issue 6, 2004, Pages 506-511

A wavelet-based radial-basis function neural network approach to the inverse scattering of conducting cylinders

Author keywords

Discrete wavelet transform; Feature extraction; Inverse scattering; Neural networks; Radial basis function

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA REDUCTION; ELECTRIC FIELD EFFECTS; ESTIMATION; FEATURE EXTRACTION; NEURAL NETWORKS; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

EID: 18744431454     PISSN: 08952477     EISSN: None     Source Type: Journal    
DOI: 10.1002/mop.20186     Document Type: Article
Times cited : (14)

References (11)
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  • 2
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  • 3
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    • Electromagnetic detection of dielectric cylinders by a neural network approach
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    • Caorsi, S.1    Gamba, P.2
  • 4
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    • A neural-network approach to the electromagnetic imaging of elliptic conducting cylinders
    • R. Mydur and K.A. Michalski, A neural-network approach to the electromagnetic imaging of elliptic conducting cylinders, Microwave Opt Technol Let 28 (2001), 303-306.
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  • 5
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    • A threshold electromagnetic classification approach for cylinders embedded in a lossy medium by using a neural network technique
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  • 6
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    • On-line inverse scattering of conducting cylinders using radial basis-function neural networks
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    • (2001) Microwave Opt Technol Lett , vol.28 , pp. 378-380
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  • 7
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    • Neural-network-based inverse-scattering technique for online microwave medical imaging
    • I.T. Rekanos, Neural-network-based inverse-scattering technique for online microwave medical imaging, IEEE Trans Magn 38 (2002), 1061-1064.
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  • 8
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    • Microwave detection and dielectric characterization of cylindrical objects from amplitude-only data by means of neural networks
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  • 9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.