title: Comments on "Principal component extraction using recursive least squares learning".
abstract: 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.
authors.affiliation: Dept. of Electr. and Electron. Eng., Melbourne Univ., Parkville, Vic.
authors.forename: Y
authors.initials: Y
authors.lastname: Miao