In this Section we extend the techniques of devising algorithms of a priori guaranteed learning properties. More distinctly, we derive conditions under which various modifications of the kernel-sequence W do not influence the asymptotic learning properties, and the behavior of the learning process may also be kept under control within finite training periods.
KeywordsLearn Process Correction Term Iterative Learning Series Truncation Roundoff Error
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