Temporal Information Processing using Recurrent Models
(L. W. Chan)

With the feedback connection, recurrent neural networks are capable of capturing and memorising temporal information. Our project is to design an efficient recurrent network model. We use a locally connected model which shows significant improvement in training time and is easy in parallel implementation. Applications of the recurrent networks in time series prediction, speech processing, motion prediction and computer animation are under investigation.