A method optimizes a fill event of an apply chamber of a fluid-actuated clutch, and includes determining input values describing the fill event, and then estimating a fill time using the input values. The method includes filling the apply chamber using the estimated fill time (EFT) or within an allowable range of the EFT. The input values can include a command line pressure, command fill stroke pressure, and an estimated viscosity of the fluid, although other values can be used. The input values are processed through a neural network having an input layer, an optional hidden layer, and an output layer. An assembly includes a fluid-actuated clutch having an apply chamber and a controller operable for estimating the fill time required for filling the apply chamber, and for controlling the fill of the apply chamber within the EFT.