Identification of non-linear FIR-models is studied. In particular the selection of model structure, i.e., to find the contributing input time lags, has been examined. A common method, exhaustive search among models with all possible combinations of the input time lags, has some undesired drawbacks, as a tendency that the minimization algorithm gets stuck in local minima and heavy computations. ...