Study of the possibility of using an artificial neural network to recognize and assess the contribution of individual radionuclides to the total beta spectrum-Reference-Cited by-同舟云学术

Study of the possibility of using an artificial neural network to recognize and assess the contribution of individual radionuclides to the total beta spectrum

Published:2020-12-31 Issue:4 Volume:13 Page:74-81
ISSN:1998-426X
Container-title:Radiatsionnaya Gygiena = Radiation Hygiene
language:
Short-container-title:Radiac. gig. (2008)

Author:

Repin V. S.¹

Affiliation:

1. Saint-Petersburg Research Institute of Radiation Hygiene after Professor P.V. Ramzaev, Federal Service for Surveillance on Consumer Rights Protection and Human Well-Being

Publisher

SPRI of Radiation Hygiene Prof. PV Ramzaev

Subject

Radiology, Nuclear Medicine and imaging

Reference34 articles.

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2. Official site of Ltd STC [«RADEC»]. Available from: https://www.radek.ru/product/Programmnoe-obespechenie/95[Accessed Nov 20, 2020] (In Russian)

3. Official site of Ltd «Spectr». Available from: http://spectrrad.ru/ [Accessed Nov 20, 2020] (In Russian)

4. Official site of Ltd [«STC Amplituda»]. Available from: http://amplituda.ru/catalog/radiatsionnyy-kontrol/programmnoe-obespe-chenie/ [Accessed Nov 20, 2020] (In Russian)

5. Official site of the company «TALS OY». Available from: https://www.tals.eu/spectradec [Accessed Nov 20, 2020]

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1. Development and Verification of the Method for b-Spectrum Decomposition of Radionuclides’ Mixtures Based on Piecewise-Combined Functions with Polynomial or Piecewise-Linear Approximation of their Parameters;ANRI;2023-08-20