Principal Component Neural Networks: Theory and Applications

A Review of Linear Algebra. Principal Component Analysis. PCA Neural Networks. Channel Noise and Hidden Units. Heteroassociative Models. Signal Enhancement Against Noise. VLSI Implementation. Appendices. Bibliography. Index.