Litcius/Paper detail

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

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

2023Applied Radiation and Isotopes27 citationsDOI

Topics & Concepts

Artificial neural networkAlgorithmComputer scienceArtificial intelligenceNuclear reactor physics and engineeringNuclear Physics and ApplicationsNuclear physics research studies
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 | Litcius