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与神经网络有关的逼近问题 被引量:1

APPROXIMATION PROBLEM CONCERNED WITH NEURAL NETWORKS
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摘要 本文来自神经网络表示能力问题的研究,主要讨论单个函数满足什么条件其所有伸缩和平移的线性组合在某类函数空间中稠密.本文结果对于神经网络理论研究具有重要意义. This paper results from the research work of representation capability of neural networks,which discusses what kinds of conditions are imposed on single function such that it's linear combinations with it's translations and dilations are dense in some function space . The results of this paper are of great importance in the study of neural networks theory.
出处 《高校应用数学学报(A辑)》 CSCD 北大核心 1999年第1期117-122,共6页 Applied Mathematics A Journal of Chinese Universities(Ser.A)
基金 上海财经大学211工程资助
关键词 稠密性 广义函数 神经网络 逼近 傅里叶变换 Denseness,Fourier Transform, Generalized Function.
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参考文献1

  • 1Chen T,Circuits Systems Signal Processing,1996年,15卷,5期,671页

同被引文献9

  • 1陈天平.神经网络及其在系统识别应用中的逼近问题[J].中国科学(A辑),1994,24(1):1-7. 被引量:50
  • 2曹飞龙,张永全,张卫国.单隐层神经网络与最佳多项式逼近[J].数学学报(中文版),2007,50(2):385-392. 被引量:13
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  • 5Chen T P,Chen H. Universal approximat ion to nonlinear operators by neuralnetworks with arbitrary action functions and its ap- plication to dynamical systems[J].IEEE Tran Neuarl Networks,1995,(04):911-917.
  • 6Chen T. P,Chen H,Lin R W. Approximation capability in C (R" z)by mtdtilayer feedforward net worksand related problems[J].IEEE Tran Neuarl Networks,1995,(01):25-30.
  • 7Bang C H. Approximation problems in neural networks[J].Chinese Annals of Mathematics,1998,(03):295-300.
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  • 9王建力,盛宝怀,周颂平.非周期神经网络及平移网络在L_w^p中的逼近[J].数学学报(中文版),2003,46(1):65-74. 被引量:4

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