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1 IntroductionOnline gradient methods (OGM, for short) are widely used for training neuraJ networks (cf.Il,2,3,4]). Its iterative convergence for linear models is proved in e.g. I5,6,71. A nonlinearn1odel is considered in [8]. During the iterative training procedure, sometimes (see the nextsection of this paper)the weight of the network may become very laxge, causing difficultiesin the implementation of the network by electronic circuits. A revised error fUnction ispresented in [gl to prev… 相似文献
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