Unlearning in Feed-Forward Neural Networks

We present two algorithms for unlearning an already stored pattern in feed- forward neural networks. The proposed algorithms are modifications of the backpropagation method. The method will find applications whenever the training set has to be updated frequently. The proposed algorithms have the propery that the retrieval of other pattens are not affected due to the selective unlearning.