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1. Adaptive principal component extraction (APEX) and applications

Author

Kung, S.Y., Diamantaras, K.I., and Taur, J.S.

Subjects
Neural networks -- Models, Principal components analysis -- Observations, Business, Computers, Electronics, Electronics and electrical industries
Abstract

A neural network model, APEX, associated with multiple principal component extraction, provided solutions for several principal component analysis applications. The normalized Hebbian learning rule was used to train the synaptic weights of the model which comprised output units having a hierarchical set of lateral connections. Such neurocomputation modeling provided information regarding biological perceptual processing.

Published
1994

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