Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine

Air engines; Alternative fuels; Biodiesel; Bioethanol; Brakes; Carbon monoxide; Efficiency; Electron emission; Engine cylinders; Ethanol; Fuel consumption; Knowledge acquisition; Learning systems; Microemulsions; Nitrogen oxides; Opacity; Smoke; Bioethanol-diesel blends; Engine performance; Exhaust...

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Bibliographic Details
Main Authors: Silitonga A.S., Masjuki H.H., Ong H.C., Sebayang A.H., Dharma S., Kusumo F., Siswantoro J., Milano J., Daud K., Mahlia T.M.I., Chen W.-H., Sugiyanto B.
Other Authors: 39262559400
Format: Article
Published: Elsevier Ltd 2023
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Summary:Air engines; Alternative fuels; Biodiesel; Bioethanol; Brakes; Carbon monoxide; Efficiency; Electron emission; Engine cylinders; Ethanol; Fuel consumption; Knowledge acquisition; Learning systems; Microemulsions; Nitrogen oxides; Opacity; Smoke; Bioethanol-diesel blends; Engine performance; Exhaust emission; Extreme learning machine; Property; Diesel engines; biofuel; carbon monoxide; compression; diesel engine; efficiency measurement; exhaust emission; experimental study; fuel consumption; machine learning; parameter estimation; performance assessment