相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Recent advances in physical reservoir computing: A review
Gouhei Tanaka et al.
NEURAL NETWORKS (2019)
Data-driven reconstruction of nonlinear dynamics from sparse observation
Kyongmin Yeo
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Training Echo State Networks with Regularization Through Dimensionality Reduction
Sigurd Lokse et al.
COGNITIVE COMPUTATION (2017)
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
Jaideep Pathak et al.
CHAOS (2017)
Re-visiting the echo state property
Izzet B. Yildiz et al.
NEURAL NETWORKS (2012)
Functional identification of biological neural networks using reservoir adaptation for point processes
Tayfun Guerel et al.
JOURNAL OF COMPUTATIONAL NEUROSCIENCE (2010)
Short-term stock price prediction based on echo state networks
Xiaowei Lin et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Automatic speech recognition using a predictive echo state network classifier
Mark D. Skowronski et al.
NEURAL NETWORKS (2007)
Learning grammatical structure with Echo State Networks
Matthew H. Tong et al.
NEURAL NETWORKS (2007)
Support vector echo-state machine for chaotic time-series prediction
Zhiwei Shi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2007)
The Lorenz attractor is mixing
S Luzzatto et al.
COMMUNICATIONS IN MATHEMATICAL PHYSICS (2005)
Real-time computing without stable states:: A new framework for neural computation based on perturbations
W Maass et al.
NEURAL COMPUTATION (2002)
A rigorous ODE solver and Smale's 14th problem
W Tucker
FOUNDATIONS OF COMPUTATIONAL MATHEMATICS (2002)
分享论文
