Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus

Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus

Abstract Meta-heuristic optimization algorithms are widely applied across various fields due to their intelligent behavior and fast convergence, but their use in optimizing engine behavior remains limited. This study addresses this gap by integrating the Design of Experiments-based Response Surface...

Descrición completa

Detalles Bibliográficos
Main Authors: V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović
Formato: Artigo
Idioma:English
Publicado: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Machine learning
Optimization
Prediction
ANN
KNN
RSM
Acceso en liña:https://doi.org/10.1038/s41598-025-87640-1

Internet

https://doi.org/10.1038/s41598-025-87640-1

Títulos similares