Neural network predictions of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:mo stretchy="true">(</mml:mo><mml:mrow><mml:mi>α</mml:mi><mml:mo>,</mml:mo><mml:mi>n</mml:mi></mml:mrow><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:math> reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithm-Reference-Cited by-同舟云学术

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Neural network predictions of (α,n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithm

Published:2024-02 Issue: Volume:204 Page:111115
ISSN:0969-8043
Container-title:Applied Radiation and Isotopes
language:en
Short-container-title:Applied Radiation and Isotopes

Author:

Özdoğan Hasan^ORCID,Üncü Yiğit Ali,Şekerci Mert,Kaplan Abdullah

Publisher

Elsevier BV

Subject

Radiation

Reference62 articles.

1. Alpha induced reactions on 114Cd and 116Cd: an experimental study of excitation functions;Adam Rebeles;Nucl. Instrum. Methods Phys. Res. B.,2008

2. Semi-empirical formula with new coefficients of the (alpha,n) reaction cross-section;Akça;Acta Phys. Pol., A,2015

3. Yarı-deneysel (α,n) Reaksiyon Tesir Kesiti Formüllerinin Önerilmesi ve Nükleer Data Değerlendirmesi, Çukurova Universtiy Institute of Natural and Applied Sciences;Akça,2018

4. Estimations of (n,p) reaction cross-sections at 14.5 MeV incident neutron energy by artificial neural networks;Akkoyun;Radiat. Phys. Chem.,2021

5. Estimation of fusion reaction cross sections by artificial neural networks;Akkoyun;Nucl. Instrum. Methods Phys. Res. B: Beam Interact. Mater. At.,2020

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