Presentation | 1997/3/18 A Consideration on Memorialization and Recall Ability of TDNN for Time-Series Patterns Kiyoshi NISHIYAMA, Satoshi YAGI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A study on artificial Neural Networks to memorialize and recall time-series patterns is very important for speech recognition, motion control and etc. In this paper, an artifitial neural network, which is called the time-delay neural network(TDNN), is focused on and the memorialization and recall ability of the TDNN for various kind of time-series partterns is investigated by computer simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | TDNN / time-series / memorialization / recall / prediction |
Paper # | NC96-167 |
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Conference Information | |
Committee | NC |
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Conference Date | 1997/3/18(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 Consideration on Memorialization and Recall Ability of TDNN for Time-Series Patterns |
Sub Title (in English) | |
Keyword(1) | TDNN |
Keyword(2) | time-series |
Keyword(3) | memorialization |
Keyword(4) | recall |
Keyword(5) | prediction |
1st Author's Name | Kiyoshi NISHIYAMA |
1st Author's Affiliation | Department of Information and Computer Engineering, Polytecnic University() |
2nd Author's Name | Satoshi YAGI |
2nd Author's Affiliation | Department of Information and Computer Engineering, Polytecnic University |
Date | 1997/3/18 |
Paper # | NC96-167 |
Volume (vol) | vol.96 |
Number (no) | 584 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |