Presentation 1996/2/3
Performance of fluctuation-driven learning for feedforward neural networks
Yuuki KAKUTA, Mitsuaki MITANI, Takahumi OOHORI, Kazuhisa WATANABE,
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Abstract(in English) We propose fluctuation-driven learning method for feedforward neural networks. As each neuron within the network has a random-fluctuation source, the state of each neuron and the error of network outputs fluctuate. This method can make the networks learn by simple averaging processes whether the neuron model is continuous or discrete. Simulations of several tasks demonstrate the validity of the proposed learning method. For example, simulations show that the networks including discrete neurons easily realize the approximation of discontinuous function and the vector quantization. Furthermor, yhey clarify that the networks can learn by pure chaos fluctuations, too. This method can be considered familiar to parallel distributed processing because the modification of every connection can be excuted simply, individually and simultaneously.
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Keyword(in English) fluctuation-driven learning / feedforward neural network / theory / simulation / multi-layered neural network
Paper # NC95-106
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Committee NC
Conference Date 1996/2/3(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance of fluctuation-driven learning for feedforward neural networks
Sub Title (in English)
Keyword(1) fluctuation-driven learning
Keyword(2) feedforward neural network
Keyword(3) theory
Keyword(4) simulation
Keyword(5) multi-layered neural network
1st Author's Name Yuuki KAKUTA
1st Author's Affiliation Department of Electrical Engineering, Hokkaido Institute of Technology()
2nd Author's Name Mitsuaki MITANI
2nd Author's Affiliation Department of Electrical Engineering, Hokkaido Institute of Technology
3rd Author's Name Takahumi OOHORI
3rd Author's Affiliation Department of Electrical Engineering, Hokkaido Institute of Technology
4th Author's Name Kazuhisa WATANABE
4th Author's Affiliation Department of Electrical Engineering, Hokkaido Institute of Technology
Date 1996/2/3
Paper # NC95-106
Volume (vol) vol.95
Number (no) 506
Page pp.pp.-
#Pages 8
Date of Issue