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...

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Detalles Bibliográficos
Autores principales: V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović
Formato: Artículo
Lenguaje:English
Publicado: Nature Portfolio 2025-01-01
Colección:Scientific Reports
Materias:
Machine learning
Optimization
Prediction
ANN
KNN
RSM
Acceso en línea:https://doi.org/10.1038/s41598-025-87640-1

Internet

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

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