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函数的逼近阶与可微性 被引量:1

THE RATE OF APPROXIMATION AND THE DIFFERENTIABILITY OF A FUNCTION
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摘要 本文使用了某些新的思想在更弱的条件下建立了Hasson和Shisha在文[2]中获得的同样的结果。特别地,对于k=2n+1的情形,我们的结果是完满的. Using some new idea, the present paper establishes the same result as that of Hasson and Shisha [2] Under some weaker conditions.In particular, in the case k=2n + 1, the result is complete.1991 Mathematics Subject Classification.41A10 41A25 42A10
机构地区 中国计量学院
出处 《中国计量学院学报》 1994年第2期1-8,共8页 Journal of China Jiliang University
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同被引文献8

  • 1孙燮华.关于用Bernstein型插值同时逼近的注记[J].中国计量学院学报,1992,3(2):13-16. 被引量:1
  • 2CYBENKO G.Approximation by superpostions of sigmodial functions[J].Mathematics of Control Signals and Systems,1989,2:303-314.
  • 3FUNAHASHI K.On the approximate realization of continuous functions mappings by neural Networks[J].Neural Networks,1989,2:183-192.
  • 4HORNIK K.Approximation capabilities of mutilayer feedforward networks[J].Neural Networks,1991,4:251-257.
  • 5XU Z B,CAO F L.Simultaneous Lp-approximation order for neural networks[J].Neural Networks,2005,18:914-923.
  • 6CARDALIAGUET P,EUVRARD G.Approximation of a function and its derivative with a neural Network[J].Neural Networks,1992,5:207-220.
  • 7ANATASSIOU G A.Rate of convergence of some neural network operators to the unit-univarate case[J].Journal of Mathematical Analysis and Applications,1997,212:237-262.
  • 8曹飞龙,徐宗本.神经网络的本质逼近阶[J].中国科学(E辑),2004,34(4):361-373. 被引量:14

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