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...

תיאור מלא

מידע ביבליוגרפי
Main Authors: V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović
פורמט: Article
שפה:English
יצא לאור: Nature Portfolio 2025-01-01
סדרה:Scientific Reports
נושאים:
Machine learning
Optimization
Prediction
ANN
KNN
RSM
גישה מקוונת:https://doi.org/10.1038/s41598-025-87640-1

אינטרנט

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

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