| Presentation | 2022-03-02 Experiments of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals Junya Kato, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose reconstructive reservoir computing (RRC), which can detect anomaly in time-series signals. In the RRC, an echo state network (ESN) learns to reconstruct normal input signals fed to its input terminals. Since it fails to reconstruct abnormal signals, RRC can detect anomaly based on its reconstruction error. Experiments demonstrate that the RRC works for anomaly detection effectively. Though forecasting errors are used in conventional methods for anomaly detection working for time-series signals, we find experimentally that the reconstruction method has an advantage in its larger margin between normal and abnormal errors. We also find that a smaller leaking rate enhances the ability of anomaly detection. In general, reservoir computing has merits of fast training and, consequently, less energy consumption. We can also make reservoir computing work with physical phenomena. Anomaly detection by RRC will be an important application of micro physical-reservoir devices in the near future. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | anomaly detection / reconstruction / reservoir computing / echo state network |
| Paper # | NC2021-47 |
| Date of Issue | 2022-02-23 (NC) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2022/3/2(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
| Vice Chair | Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
| Secretary | Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR) |
| Assistant | Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Experiments of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals |
| Sub Title (in English) | |
| Keyword(1) | anomaly detection |
| Keyword(2) | reconstruction |
| Keyword(3) | reservoir computing |
| Keyword(4) | echo state network |
| 1st Author's Name | Junya Kato |
| 1st Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 2nd Author's Name | Gouhei Tanaka |
| 2nd Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 3rd Author's Name | Ryosho Nakane |
| 3rd Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| 4th Author's Name | Akira Hirose |
| 4th Author's Affiliation | The University of Tokyo(Univ. of Tokyo) |
| Date | 2022-03-02 |
| Paper # | NC2021-47 |
| Volume (vol) | vol.121 |
| Number (no) | NC-390 |
| Page | pp.pp.5-10(NC), |
| #Pages | 6 |
| Date of Issue | 2022-02-23 (NC) |