Method implemented by computer for classifying manoeuvres performed by a first aircraft equipped with a monitoring system configured to acquire samples of a number of quantities relative to the flight of the first aircraft, comprising the steps of: - acquiring a data structure including at least one unknown data matrix including a plurality of time series of samples of said quantities, said samples being relative to a succession of instants of time; - applying to the unknown data matrix a neural network configured to generate a corresponding probability matrix (MX prob (NUM_C,W)), said neural network having been trained based on a plurality of classes of manoeuvres and based on a plurality of first training matrices equal to corresponding portions of a training data structure including a sequence of data groups (DG1,DG2,DG3,DGL), each data group including corresponding time series of samples of said quantities, the time series of samples of each data group (DG1,DG2,DG3,DGL) being relative to a corresponding time period (T1, T2, T3, TL) in which said first aircraft or one or more second aircraft that are identical to said first aircraft and equipped with respective monitoring systems have performed a corresponding manoeuvre belonging to a corresponding class among said plurality of classes of manoeuvres, said neural network having also been trained on the basis of curves that are indicative, for each first training matrix (TM1, TM2), of the classes of the manoeuvres performed by said first aircraft or by said second aircraft during the acquisition of the data groups (DG1,DG2,DG3,DGL) of the first training matrix (TM1, TM2), so that said probability matrix (MX prob (NUM_C,W)) comprises, for each instant of time of said succession of instants of time, a corresponding probability vector including, for each class of said plurality of classes of manoeuvres, a corresponding estimate of the probability that, at said instant of time, the first aircraft performed a manoeuvre belonging to said class; and - selecting, for each instant of time of said succession of instants of time, a corresponding class of manoeuvres, based on the probability estimates of the corresponding probability vector. - acquiring a data structure including at least one unknown data matrix including a plurality of time series of samples of said quantities, said samples being relative to a succession of instants of time; - applying to the unknown data matrix a neural network configured to generate a corresponding probability matrix (MX prob (NUM_C,W)), said neural network having been trained based on a plurality of classes of manoeuvres and based on a plurality of first training matrices equal to corresponding portions of a training data structure including a sequence of data groups (DG1,DG2,DG3,DGL), each data group including corresponding time series of samples of said quantities, the time series of samples of each data group (DG1,DG2,DG3,DGL) being relative to a corresponding time period (T1, T2, T3, TL) in which said first aircraft or one or more second aircraft that are identical to said first aircraft and equipped with respective monitoring systems have performed a corresponding manoeuvre belonging to a corresponding class among said plurality of classes of manoeuvres, said neural network having also been trained on the basis of curves that are indicative, for each first training matrix (TM1, TM2), of the classes of the manoeuvres performed by said first aircraft or by said second aircraft during the acquisition of the data groups (DG1,DG2,DG3,DGL) of the first training matrix (TM1, TM2), so that said probability matrix (MX prob (NUM_C,W)) comprises, for each instant of time of said succession of instants of time, a corresponding probability vector including, for each class of said plurality of classes of manoeuvres, a corresponding estimate of the probability that, at said instant of time, the first aircraft performed a manoeuvre belonging to said class; and - selecting, for each instant of time of said succession of instants of time, a corresponding class of manoeuvres, based on the probability estimates of the corresponding probability vector.