Presentation 2001/3/16
On Multilayer RBF Networks and A Novel Pyramid Network.
Miho Hoshino, Tasuku Kitamura, Takeshi Masuda, Jinhui Chao,
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Abstract(in English) In this paper, we show a multilayed RBF network, such that the centers and widths will be found by supervised learning. Thus, we gain the structural efficiency of network so that the basis functions can be adaptively constructed to approximate the the input-output mapping using full use of all units and connections in the network. while the prie to pay is to loose the advantage in global convergence. All the paramenters are found by a globally convergent learning algorithm called magic bruch method. We also show a pyramid topology for a multilayed network which is expected to have lhigher efficiency in both estimation and generalization.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Multilayer Neural Network / RBF Network / Novel Pyramid Network / generalization
Paper # NC2000-160
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Committee NC
Conference Date 2001/3/16(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Multilayer RBF Networks and A Novel Pyramid Network.
Sub Title (in English)
Keyword(1) Multilayer Neural Network
Keyword(2) RBF Network
Keyword(3) Novel Pyramid Network
Keyword(4) generalization
1st Author's Name Miho Hoshino
1st Author's Affiliation Dept. of Electrical and Electronic Eng., and Communication Engineering, Faculty of Science and Engineering, Chuo University()
2nd Author's Name Tasuku Kitamura
2nd Author's Affiliation Dept. of Electrical and Electronic Eng., and Communication Engineering, Faculty of Science and Engineering, Chuo University
3rd Author's Name Takeshi Masuda
3rd Author's Affiliation Dept. of Electrical and Electronic Eng., and Communication Engineering, Faculty of Science and Engineering, Chuo University
4th Author's Name Jinhui Chao
4th Author's Affiliation Dept. of Electrical and Electronic Eng., and Communication Engineering, Faculty of Science and Engineering, Chuo University:The Institute of Science and Engineering, Chuo University
Date 2001/3/16
Paper # NC2000-160
Volume (vol) vol.100
Number (no) 688
Page pp.pp.-
#Pages 7
Date of Issue