Developing a Forecasting model for uranium occurrence in GII, Northeastern Desert, Egypt using artificial neural networks-Reference-Cited by-同舟云学术

Developing a Forecasting model for uranium occurrence in GII, Northeastern Desert, Egypt using artificial neural networks

Published:2022-12 Issue:4 Volume:15 Page:100468
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:

Darwish Yehia Z.,Embaby A. Kh,Sharafeldin Hani E.,Farag H.A.,El Kholy Darwish M.,Selim Samir M.

Publisher

Elsevier BV

Subject

General Medicine

Reference44 articles.

1. Relation between surface and subsurface uranium mineralization and structural features, gabal gattar, north eastren desert, Egypt. M.Sc. Thesis, fac;Abu Zied,1995

2. Surface and subsurface structural features controlling uranium mineralization at granitic-hammamat contact, Wadi Belieh, Northern Eastern Desert, Egypt;Amin,2010

3. Artiﬁcial neural networks: Fundamentals, computing, design, and application;Basheer;Journal of Microbiological Methods,2000

4. Application of neural networks to mineral reserve estimation;Burnett,1995

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