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Comments on "Principal component extraction using recursive least squares learning"

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1 Author(s)
Yongfeng Miao ; Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

In the above paper, (Bannour and Azimi-Sanjadi, 1995) we point out and correct flaws in the proofs of the orthonormal property of the optimal weight vectors of a two-layer linear auto-associative network used for sequentially extracting the principal components of a stationary vector stochastic process.

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Neural Networks, IEEE Transactions on  (Volume:7 ,  Issue: 4 )