Feasibility study of using the artificial neural network modeling for estimation the radiological levels for the environmental samples-Reference-Cited by-同舟云学术

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Feasibility study of using the artificial neural network modeling for estimation the radiological levels for the environmental samples

Published:2022-03 Issue:1 Volume:15 Page:75-81
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Negm H.^ORCID,Abbady A.,Ahmed N.K.,Reda M.M.

Publisher

Elsevier BV

Subject

General Medicine

Reference31 articles.

1. Multilayer feedforward neural network based on multi-valued neurons (MLMVN);Aizenberg,2011

2. Monitoring environmental impact of oil ashes released from Assiut thermal power plant, Egypt;El-Gamal;Sylwan J.,2019

3. Detection efficiency of NaI(Tl) detector based on the fabricated calibration of HPGe detector;El-Gamal;J. Radiat. Res. Appl. Sci.,2019

4. Robust training of artificial feedforward neural networks;El-Melegy,2009

5. Gamma-ray measurements of natural radioactivity in sedimentary rocks from Egypt;Elarabi;Nuclear Science and Techniques,2006

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1. Development of Mathematical MOOC System Based on BP Neural Algorithm;Proceedings of the 2022 5th International Conference on Education Technology Management;2022-12-16

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