An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks

Cyclone track prediction is a two dimensional time series prediction problem that involves latitudes and longitudes which define the position of a cyclone. Recurrent neural networks have been suitable for time series prediction due to their architectural properties in modeling temporal sequences. Coevolutionary recurrent neural networks have been used for… CONTINUE READING