1. Computer-assisted method for the digital simulation of an aircraft in a specific configuration, comprising: identification, i.e. fixing the value of the parameters (aerodynamic data) of a predetermined set of equations forming the aerodynamic models of this aircraft, so as to minimize the variance between the values anticipated by using these aerodynamic data, and reference data in cases of known configurations, this identification comprising a use of artificial learning or optimization methods to determine at least one portion of the parameters' values, this identification comprising steps of: 000 —storing database data, 100 —choosing an optimization method or a neural network method, 200 —breaking the identification down into several partial identifications, 300 —carrying out successive partial identifications, 400 —calculating each of the variances between this model and the reference data, validating the values found for the aerodynamic model's parameters, if a value that is a function of the variances is below a pre-defined threshold, or otherwise iterating, by modifying the segmentation of the model and/or the choice of the optimization or learning method selected.