An improved expand-and-truncate learning

This paper proposes a novel learning algorithm that can realize any binary-to-binary mapping by using three-layer binary neural networks. The algorithm includes an improved expand-and-truncate learning routine that can reduce the number of the hidden neurons by conventional methods. Also, the output layer parameters can be given by simple analytic formulae.