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Two Criteria for Learning in Feedforward Neural Networks
引用本文:彭汉川,甘强,韦钰. Two Criteria for Learning in Feedforward Neural Networks[J]. 东南大学学报, 1997, 0(2)
作者姓名:彭汉川  甘强  韦钰
作者单位:Peng Hanchuan Gan Qiang Wei Yu 1,2 (Department of Biomedical Engineering,Southeast University,Nanjing 210018) 1(National Laboratory of Pattern Recognition,Beijing 100080)
摘    要:TwoCriteriaforLearninginFeedforwardNeuralNetworksPengHanchuan(彭汉川)1,2GanQiang(甘强)1WeiYu(韦钰)11,2(DepartmentofBiomedicalEngine...


Two Criteria for Learning in Feedforward Neural Networks
Peng Hanchuan Gan Qiang Wei Yu . Two Criteria for Learning in Feedforward Neural Networks[J]. Journal of Southeast University(English Edition), 1997, 0(2)
Authors:Peng Hanchuan Gan Qiang Wei Yu
Affiliation:Peng Hanchuan Gan Qiang Wei Yu 1,2
Abstract:Two criteria for improving the generalization of learning in feedforward neural networks are proposed. Based on the criteria, a multi channel weight sharing neural network is designed and applied to unconstrained handwritten character recognition. Its recognition performance is much better than that of the standard BP network.
Keywords:feedforward neural networks   generalization
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