Presentation 2001/3/16
A Distributed-Cooperative Learning Algorithm for Multi-Layered Neural Networks using a PC Cluster
Eiji Watanab, Katsumi Mori,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) ln this report, a distributed-cooperative learning algorithm of multi-layered neural networks(NNs)is newly proposed using a PC cluster. In the proposed distributed-cooperative learning algorithm, the learning data are exchanged among the group of NNs based on the idea the ciustering method. Then the proposed learning algorithm has the following functions: (i)the decentralization of the learning load in each NN, (ii)the imporovement of the learning ability in the group of NNs. Finally, we apply the proposed learning algorith for an image segementation problem and a section segemntation problem in non-stationary time-series data and show that the proposed learning algorithm can distribute the learning load according to the learning ability of each NN.
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Keyword(in English) Multi-layered neural network / PC cluster / Module structure / Distributed-Cooperative learning / Information exchange
Paper # NC2000-157
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Conference Information
Committee NC
Conference Date 2001/3/16(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) A Distributed-Cooperative Learning Algorithm for Multi-Layered Neural Networks using a PC Cluster
Sub Title (in English)
Keyword(1) Multi-layered neural network
Keyword(2) PC cluster
Keyword(3) Module structure
Keyword(4) Distributed-Cooperative learning
Keyword(5) Information exchange
1st Author's Name Eiji Watanab
1st Author's Affiliation Departrnent of Information Systems and Management Science Facult of Science, Konan University()
2nd Author's Name Katsumi Mori
2nd Author's Affiliation Department of Information Processing Engineering Faculty of Engineering, Fukuyama University
Date 2001/3/16
Paper # NC2000-157
Volume (vol) vol.100
Number (no) 688
Page pp.pp.-
#Pages 8
Date of Issue