Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated with genetic algorithm

Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated with genetic algorithm

This research examines the predictive performance of two modeling techniques—Response Surface Methodology (RSM) and an Artificial Neural Network enhanced by a Genetic Algorithm (ANN-GA)—in relation to noise emission levels from a single-cylinder diesel engine running on palm oil methyl ester (POME)....

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Bibliographic Details
Main Authors: J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:International Journal of Thermofluids
Subjects:
Diesel engine
Biodiesel
Modelling
Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202725000515
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