Aging prediction in single based propellants using hybrid strategy of machine learning and genetic algorithm

This study proposes novel approach that combines optimization and machine learning to predict the aging of single-base propellants in alignment with the high-performance liquid chromatography (HPLC). To obtain aging and reduce HPLC experimentation, the proposed algorithm provides an efficient proced...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Chemometrics and intelligent laboratory systems Jg. 245; S. 105058
Hauptverfasser:	Khalid, Faizan, Aslam, Muhammad Nouman, Ghani, Muhammad Abdaal, Ahmad, Nouman, Abdullah, Sattar, Khurram
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.02.2024
Schlagworte:	Energetic material Genetic algorithm Machine learning Nitro cellulose Propellants Propellants Genetic algorithm Energetic material Machine learning Nitro cellulose
ISSN:	0169-7439, 1873-3239
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!