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This paper aims to determine the thermal conductivity (knf) of oxide of tungsten (WO3)-MWCNTs/hybrid engine oil, through an Artificial Neural Network (ANN). Nanofluid were prepared by the suspension of nanoparticles in engine oil. The experiments were conducted at a volume fraction of nanoparticles ϕ = 0.05 to ϕ = 0.6%, as well as a temperature range of T = 20°C–60 °C. The ANN was then used to estimate the knf, and the optimum neuron number was 7. Results showed that the absolute error values of the ANN method in many points are zero. Also, the ANN had smaller error values compared to the correlation method. ANN showed acceptable performance and correlation coefficient. Also, a correlation method was used to predict knf.