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Volumn 52, Issue 13, 1997, Pages 2139-2148

Three-component tomographic flow imaging using artificial neural network reconstruction

Author keywords

Neural networks; Process tomography

Indexed keywords

NEURAL NETWORKS; TOMOGRAPHY;

EID: 0030616234     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0009-2509(97)00040-7     Document Type: Article
Times cited : (14)

References (10)
  • 1
    • 0028714038 scopus 로고
    • A neural networks image reconstruction technique for electrical impedance tomography
    • Adler, A. and Guardo, R. (1994) A neural networks image reconstruction technique for electrical impedance tomography. IEEE Trans. Med. Imaging 13, pp. 594-600.
    • (1994) IEEE Trans. Med. Imaging , vol.13 , pp. 594-600
    • Adler, A.1    Guardo, R.2
  • 10
    • 0026818083 scopus 로고
    • Electrical capacitance tomography for flow imaging: System model for development of image reconstruction algorithms and design of primary sensors
    • Xie, C. G., Huang, S. M., Hoyle, B. S., Thorn, R., Lenn, C., Snowden, D. and Beck, M. S. (1992) Electrical capacitance tomography for flow imaging: system model for development of image reconstruction algorithms and design of primary sensors. IEE Proc. G 139, 89-98.
    • (1992) IEE Proc. G , vol.139 , pp. 89-98
    • Xie, C.G.1    Huang, S.M.2    Hoyle, B.S.3    Thorn, R.4    Lenn, C.5    Snowden, D.6    Beck, M.S.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.