Presentation | 2019-12-24 Quasi-Recurrent Neural Networksを用いた複合時系列データ予測 Yuichiro Sakazaki, Rin Adachi, Jun Rokui, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We proposed a model that integrates several types of data by multiple regression analysis and performs future prediction of target using Quasi- Recurrent Neural Network, which is one of nonlinear models. In addition, we experiment to change the length of the time series data and the parameters of the nonlinear model. And the change of prediction accuracy is verified from the result. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | time-series / prediction / QRNN / machine-learning |
Paper # | DE2019-32 |
Date of Issue | 2019-12-16 (DE) |
Conference Information | |
Committee | DE / IPSJ-DBS |
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Conference Date | 2019/12/23(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | National Institute of Informatics |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Jun Miyazaki(Tokyo Inst. of Tech.) / 吉川 正俊(京大) |
Vice Chair | Shohei Yokoyama(Tokyo Metropolitan Univ.) / Kazuo Goda(Univ. of Tokyo) |
Secretary | Shohei Yokoyama(NTT) / Kazuo Goda(Univ. of Hyogo) / (筑波大) |
Assistant | Saneyasu Yamaguchi(Kogakuin Univ.) / Shoko Wakamiya(NAIST) |
Paper Information | |
Registration To | Technical Committee on Data Engineering / Special Interest Group on Database System |
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Language | JPN-ONLY |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | |
Sub Title (in English) | |
Keyword(1) | time-series |
Keyword(2) | prediction |
Keyword(3) | QRNN |
Keyword(4) | machine-learning |
1st Author's Name | Yuichiro Sakazaki |
1st Author's Affiliation | University of Shizuoka(univ. of Shizuoka) |
2nd Author's Name | Rin Adachi |
2nd Author's Affiliation | University of Shizuoka(univ. of Shizuoka) |
3rd Author's Name | Jun Rokui |
3rd Author's Affiliation | University of Shizuoka(univ. of Shizuoka) |
Date | 2019-12-24 |
Paper # | DE2019-32 |
Volume (vol) | vol.119 |
Number (no) | DE-354 |
Page | pp.pp.93-98(DE), |
#Pages | 6 |
Date of Issue | 2019-12-16 (DE) |