Diary/2019-1-19

リザーバコンピュータを

いろいろと下調べ．

• A Practical Guide to Applying Echo State Networks https://pdfs.semanticscholar.org/11bb/0941b1f6088783e26d7f9603789ee1db7faa.pdf
• The "echo state" approach to analysing and training recurrent neural networks - with an Erratum note https://pdfs.semanticscholar.org/8430/c0b9afa478ae660398704b11dca1221ccf22.pdf
• A tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the "echo state network" approach http://minds.jacobs-university.de/uploads/papers/ESNTutorialRev.pdf
• Herbert JaegerさんのGoogle Scholar https://scholar.google.de/citations?user=0uztVbMAAAAJ&hl=de
• 会津大中里先生のまとめ http://galaxy.u-aizu.ac.jp/l/posts/2018/04/25/reservoir-computing/
• ちょっと変わったニューラルネットワーク Reservoir Computing https://qiita.com/kazoo04/items/71b659ced9dc0342a2b0
• 藤井さんの量子レザバー http://bayes.sigmath.es.osaka-u.ac.jp/ftanaka/workshop/r16s/fujii.pdf
• EchoTorch https://github.com/nschaetti/EchoTorch
• pyESN https://github.com/cknd/pyESN
• The Application of FPGA Based Real-Time Processing ESN in Pattern Recognition and Waveform Generation http://www.dpi-proceedings.com/index.php/dtetr/article/viewFile/5753/5371
• FPGA-based stochastic echo state networks for time-series forecasting https://dl.acm.org/citation.cfm?id=2934372
• JAIST 田中研伊藤さんの修論 https://dspace.jaist.ac.jp/dspace/bitstream/10119/14806/5/paper.pdf