Theoretical diagnostic and prediction of physical properties of quaternary InGaAsP compound using artificial neural networks optimized by the Levenberg Maquardt algorithm
Crossref DOI link: https://doi.org/10.1007/s11082-018-1558-1
Published Online: 2018-07-09
Published Print: 2018-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tarbi, Amal
Atmani, El Houssine
Sellam, Mohammed Amine
Lougdali, Meriem
El Kouari, Youssef
Migalska-Zalas, Anna
Text and Data Mining valid from 2018-07-01
Article History
Received: 2 June 2018
Accepted: 29 June 2018
First Online: 9 July 2018