Experimental investigation and prediction of performance and emission responses of a CI engine fuelled with different metal-oxide based nanoparticles–diesel blends using different machine learning algorithms - Ağbulut, Ümit; Gürel, Ali Etem; Sarıdemir, Suat (Energy (Oxford), 2021)
Keywords: Algorithms; Aluminum oxide; Artificial neural networks; Brakes; Carbon dioxide; Carbon monoxide; Catalytic activity; Combustion; Combustion chambers; Copper oxides; data collection; Deep learning; Diesel; Diesel engines; diesel fuel; Diesel fuels; Emission; Emission analysis; Emissions; energy; energy use and consumption; Engine performance; Exhaust gases; Fuels; Gas temperature; Heat transfer; Learning algorithms; Learning theory; Machine learning; Metal oxides; Nanodiesel; Nanoparticle; Nanoparticles; Neural networks; Nitrogen oxides; Nonlinear analysis; oxygen; Performance prediction; Photochemicals; Pollutants; Prediction; Predictions; Support vector machines; temperature; Thermodynamic efficiency; Titanium dioxide; Emission; Nanodiesel; Nanoparticle; Engine performance; Machine learning; Prediction