## Another Neural Model as a Principal Component Analyzer

- Y. Chauvin
- 1989

- Published 1988

What follows extends some of our results of [1] on learning from examples in layered feed-forward networks of linear units. In particular we examine what happens when the ntunber of layers is large or when the connectivity between layers is local and investigate some of the properties of an autoassociative algorithm. Notation will be as in [1] where… (More)

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