17:50 〜 18:10
[2K6-ES-2-01] Selecting Neurons of Deep Echo State Networks as a Readout Layer via Generalized-Ensemble Algorithms
キーワード：Reservoir computing, Echo state network, Deep echo state network, Generalized-ensemble algorithm
A deep echo state network (DeepESN), a type of recurrent neural network with an adaptable readout layer and fixed layers, effectively extracts hidden states from temporal sequences. However, it is computationally complex to identify appropriate neurons and layer depths of DeepESNs as the readout layer from many candidates. To address this problem, we propose applying generalized-ensemble algorithms for selecting neurons of DeepESNs based on the information criteria. We show that our approach can identify suitable neurons and layer depths of DeepESNs efficiently. We also show that the forecast accuracy is better than other neural network architectures.
講演PDFパスワード認証
論文PDFの閲覧にはログインが必要です。参加登録者の方は「参加者用ログイン」画面からログインしてください。あるいは論文PDF閲覧用のパスワードを以下にご入力ください。