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In our previous work (Int. J. Thermal Sci. 50 (2011) 44–52), we developed diffusional neural network scheme to model thermal conductivity of several nanofluids. In this paper, we have extended the neural networks method to predict the relative viscosity of nanofluids including nanoparticles CuO suspended in propylene glycol+water, CuO suspended in ethylene glycol+water,SiO₂ suspended in water, SiO₂ suspended in ethanol, Al₂O₃suspended in water, and TiO₂ suspended in water. The results obtained have been compared with other theoretical models as well as experimental values. The predicted relative viscosities of suspensions using diffusional neural networks (DNN) are in accordance with the literature values.