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Finite Convergence of On-line BP Neural Networks with Linearly Separable Training Patterns 被引量:1
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作者 邵郅邛 吴微 杨洁 《Journal of Mathematical Research and Exposition》 CSCD 北大核心 2006年第3期451-456,共6页
In this paper we prove a finite convergence of online BP algorithms for nonlinear feedforward neural networks when the training patterns are linearly separable.
关键词 nonlinear feedforward neural networks online BP algorithms finite convergence linearly separable training patterns.
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