GDS: Gradient Descent Generation of Symbolic Classification Rules
–Neural Information Processing Systems
Given such a classification task in most cases it is not too difficult to devise a network architecture that is capable of learning the input-output relation as represented by a number of training examples.
Neural Information Processing Systems
Dec-31-1994