메뉴 건너뛰기




Volumn 42, Issue 4, 1995, Pages 709-715

Nuclear Spectral Analysis via Artificial Neural Networks for Waste Handling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELEMENTARY PARTICLES; EXPERT SYSTEMS; GAMMA RAY SPECTROMETERS; MONTE CARLO METHODS; NUCLEAR RADIATION SPECTROSCOPY; PARTICLE SPECTROMETERS; PHOTODETECTORS; PLUTONIUM; RADIOACTIVE WASTES; RADIOISOTOPES; REAL TIME SYSTEMS;

EID: 0029358333     PISSN: 00189499     EISSN: 15581578     Source Type: Journal    
DOI: 10.1109/23.467888     Document Type: Article
Times cited : (35)

References (16)
  • 1
    • 0026497924 scopus 로고
    • Hanford seeks short- and long-term solutions to its legacy of waste
    • March
    • B. G. Levi, “Hanford seeks short- and long-term solutions to its legacy of waste,” Physics Today, vol. 45, no. 3, pp. 17–21, March 1992.
    • (1992) Physics Today , vol.45 , Issue.3 , pp. 17-21
    • Levi, B.G.1
  • 3
    • 84938165533 scopus 로고
    • Algorithms To Correct For Radon Progeny Interference
    • paper WAM-E4, Columbus, OH June
    • G. L. Troyer, “Algorithms To Correct For Radon Progeny Interference,” in Health Physics Society 37th Annual Meeting, paper WAM-E4, Columbus, OH, June 1992.
    • (1992) Health Physics Society 37th Annual Meeting
    • Troyer, G.L.1
  • 4
    • 0002244266 scopus 로고
    • Near-Infrared Spectroscopy and Neural Networks for Resin Identification
    • February
    • M. K. Alam, S. L. Stanton, and G. A. Hebner, “Near-Infrared Spectroscopy and Neural Networks for Resin Identification,” Spectroscopy, pp. 30–40, February 1994.
    • (1994) Spectroscopy , pp. 30-40
    • Alam, M.K.1    Stanton, S.L.2    Hebner, G.A.3
  • 5
    • 0006016907 scopus 로고
    • Practical Neural Networks Aid Spectroscopic Analysis
    • August
    • J. M. Lerner and T. Lu, “Practical Neural Networks Aid Spectroscopic Analysis,” Photonic Spectra, pp. 93–98, August 1993.
    • (1993) Photonic Spectra , pp. 93-98
    • Lerner, J.M.1    Lu, T.2
  • 6
    • 0001451674 scopus 로고
    • Comparing the performance of neural networks to well-established methods of multivariate data analysis: the classification of mass spectral data
    • H. Lohninger and F. Stancl, “Comparing the performance of neural networks to well-established methods of multivariate data analysis: the classification of mass spectral data,” Fresenius Journal of Analytical Chemistry, vol. 344, pp. 186–189, 1992.
    • (1992) Fresenius Journal of Analytical Chemistry , vol.344 , pp. 186-189
    • Lohninger, H.1    Stancl, F.2
  • 7
    • 0025708936 scopus 로고
    • Spectral Peak Verification and Recognition Using a Multilayered Neural Network
    • B. J. Wythoff, S. P. Levine, S. A. Tomellini, “Spectral Peak Verification and Recognition Using a Multilayered Neural Network,” Analytical Chemistry, pp. 2702–2709, 1990.
    • (1990) Analytical Chemistry , pp. 2702-2709
    • Wythoff, B.J.1    Levine, S.P.2    Tomellini, S.A.3
  • 8
    • 0000646059 scopus 로고
    • Learning Internal Representations by Error Propagation
    • Cambridge, MA: MIT Press
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning Internal Representations by Error Propagation,” Parallel Distributed Processing Systems, Cambridge, MA: MIT Press 1986, vol. 1, pp. 318–362.
    • (1986) Parallel Distributed Processing Systems , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 13
    • 0002501061 scopus 로고
    • Two theorems of statistical separability in the Perceptron
    • Proceedings of symposium No. 10, National Physical Laboratory, London, November
    • F. Rosenblatt, “Two theorems of statistical separability in the Perceptron,” in Mechanisation of Thought Process, Proceedings of symposium No. 10, National Physical Laboratory, London, November 1958, vol. I, pp. 421–456.
    • (1958) Mechanisation of Thought Process , vol.1 , pp. 421-456
    • Rosenblatt, F.1
  • 14
    • 0015331348 scopus 로고
    • Correlation matrix memories
    • T. Kohonen, “Correlation matrix memories,” IEEE Transactions on Computers, vol. C-21, pp. 353, 1972.
    • (1972) IEEE Transactions on Computers , vol.C-21 , pp. 353
    • Kohonen, T.1
  • 16
    • 0028449270 scopus 로고
    • Drift Problems in the Automatic Analysis of Gamma-Ray Spectra Using Associative Memory Algorithms
    • P. Olmos, J. C. Diaz, J. M. Perez, P. Aguayo, P. Gomez, and V. Rodellar, “Drift Problems in the Automatic Analysis of Gamma-Ray Spectra Using Associative Memory Algorithms,” IEEE Transactions on Nuclear Science, vol. 41, no. 3, pp. 637–641, 1994.
    • (1994) IEEE Transactions on Nuclear Science , vol.41 , Issue.3 , pp. 637-641
    • Olmos, P.1    Diaz, J.C.2    Perez, J.M.3    Aguayo, P.4    Gomez, P.5    Rodellar, V.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.