A intensity prediction scheme of tropical cyclones (TCs) based on the logistic growth equation (LGE) for the western North Pacific (WNP) has been developed using the machine learning method called Long Short-Term Memory (LSTM). In the LGE, TC intensity change is determined by a growth term and a decaying term. These two terms comprise four free parameters, including the time-dependent growth rate and maximum potential intensity (MPI), and two constants.    Read the article >>