Presentation | 2002/1/17 Ordered sequence generation using neural network Takuya NAKAMURA, Takeo 0KAZAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For finding order relation between objects, a procedure using neural network cluster is proposed. A modified self-organization map is applied. From the probabilistic view, an appropriate learning rate and threshold value are discussed with simulation results including random data and trend data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ordered sequence generation / neural network cluster / self-organization map |
Paper # | 2001-HIP-79 |
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Conference Information | |
Committee | HIP |
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Conference Date | 2002/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Ordered sequence generation using neural network |
Sub Title (in English) | |
Keyword(1) | ordered sequence generation |
Keyword(2) | neural network cluster |
Keyword(3) | self-organization map |
1st Author's Name | Takuya NAKAMURA |
1st Author's Affiliation | Graduate School of Science and Engineering, University of the Ryukyus() |
2nd Author's Name | Takeo 0KAZAKI |
2nd Author's Affiliation | Faculty of Engineering, University of the Ryukyus |
Date | 2002/1/17 |
Paper # | 2001-HIP-79 |
Volume (vol) | vol.101 |
Number (no) | 594 |
Page | pp.pp.- |
#Pages | 5 |
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