Discrete Dynamics of Oja’s Flow

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,[11 ii~(lfi(lal Ii(ural nt’twork et[uip[)ed with a proper Ifar[iill: PLIICcali act iiS alI associative memory, patIcr]l cliissifitr ailcl feature extractor. Of course, the SLI(’(’<’SS of’ Sllcll ail a.igorithm crucially depends on [ IL(,cal)iil)ility of” learning the connection weights in 1he l~e[iral IIet\vork. Such learning rules are usually Illodell(d I)y no[lliuear dynamical systems, evolving ill the s~)act of weight vecors, and the learning abilities of the [leural network are thus reflected by the convergence properties of the dynamical sytem. An inlport,a.nt task of signal processing, linear algebra and statistical estimation is that of principal component analysis. Here the principal component

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تاریخ انتشار 1998