Comments on "Principal component extraction using recursive least squares learning".
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.
Miao
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Dept. of Electr. and Electron. Eng., Melbourne Univ., Parkville, Vic.