Presentation | 1994/10/13 A Biologically Plausible Neural Network (BPNN) Model for Recognition and Generation of Temporal Sequences Ryoko Futami, Nozomu Hoshimiya, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A neural network model for the recognition and generation of temporal sequences is proposed.This model is composed of Kohonen's self-organizing feature maps and the feedback through delay or memory units which have smooth temporal responses.It is shown by computer simulation that this model can be self-organized to satisfy desired input-output relationships.As this model uses feature maps,some advantages of local representation,i.e.,fast learning speed and robustness for the additional learning on new sequences can be expected.Those features have not been realized by the combination of recurrent-type neural network model and error back-propagation learning. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Temporal Sequence / Local representation / Feature map / Recognition / Generation / Imitation |
Paper # | NC94-39 |
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Committee | NC |
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Conference Date | 1994/10/13(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 | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Biologically Plausible Neural Network (BPNN) Model for Recognition and Generation of Temporal Sequences |
Sub Title (in English) | |
Keyword(1) | Temporal Sequence |
Keyword(2) | Local representation |
Keyword(3) | Feature map |
Keyword(4) | Recognition |
Keyword(5) | Generation |
Keyword(6) | Imitation |
1st Author's Name | Ryoko Futami |
1st Author's Affiliation | Faculty of Engineering,Tohoku University() |
2nd Author's Name | Nozomu Hoshimiya |
2nd Author's Affiliation | Faculty of Engineering,Tohoku University |
Date | 1994/10/13 |
Paper # | NC94-39 |
Volume (vol) | vol.94 |
Number (no) | 272 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |