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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Bibliografiska uppgifter
Huvudupphovsmän: V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović
Materialtyp: Artikel
Språk:English
Publicerad: Nature Portfolio 2025-01-01
Serie:Scientific Reports
Ämnen:
Machine learning
Optimization
Prediction
ANN
KNN
RSM
Länkar:https://doi.org/10.1038/s41598-025-87640-1

Internet

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

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