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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Main Authors: | , , , , , , , , , , , |
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Format: | Article |
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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 |
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