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Author:

Li, YJ (Li, YJ.)

Indexed by:

CPCI-S

Abstract:

The concept of monotonic value is presented to predetermine the optimal or near optimal number of hidden neurons needed in a feedforward neural network with one hidden layer. The approximation of an estimated neural network to y=sin(2pix) is well simulated and the monotonic value of Xor is proven to be 2.

Keyword:

feedforward neural network hidden neuron monotonic value training pattern

Author Community:

  • [ 1 ] Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100022, Peoples R China

Reprint Author's Address:

  • 李玉鑑

    [Li, YJ]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing Municipal Key Lab Multimedia & Intelligen, Beijing 100022, Peoples R China

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Source :

2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS

ISSN: 1062-922X

Year: 2003

Page: 1322-1326

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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