  We investigate the convergence of a forward-backward-forward proximal-type
algorithm with inertial and memory effects when minimizing the sum of a
nonsmooth function with a smooth one in the absence of convexity. The
convergence is obtained provided an appropriate regularization of the objective
satisfies the Kurdyka-\L{}ojasiewicz inequality, which is for instance
fulfilled for semi-algebraic functions.
