A symmetric linear neural network that learns principal components and their variances

Ferdinand Peper, Hideki Noda. A symmetric linear neural network that learns principal components and their variances. IEEE Transactions on Neural Networks, 7(4):1042-1047, 1996. [doi]

Abstract

Abstract is missing.