This paper proposes a novel learning algorithm
benefitting from square-root cubature Kalman filters for training
recurrent interval type-2 fuzzy neural networks. The recurrence
property in this network is feeding the output of each input to
itself. Simulations results show the effectiveness of the proposed
network and the proposed learning algorithm.