In this research, a numerical procedure is used to solve Navier-Stokes equation on a submerge hydrofoil and the estimation of hydrofoil performance is done by Adaptive Neuro-Fuzzy Inference System (ANFIS) model. A pressure-based implicit technique and a non-orthogonal mesh with collocated finite volume formulation are used to simulate flow around the hydrofoil. The procedure incorporates the k-ε eddy-viscosity turbulence model and a Volume of Fluid (VOF) process has been utilized to simulate two-phase fluid (water and air). In the mentioned method, the analyses of thickness and camber effect of hydrofoil, submerge distance (h/c), and the angle of attack (AOA) make an impression on the hydrofoil performance. To verify the numerical simulation, a part of the presented results is compared with published experimental data. This comparison confirms the numerical process. Moreover, the hydrofoil configuration and operating condition are assessed by ANFIS model. Consequently, the results prove that the ANFIS model can predicate the hydrofoil performance very well

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