Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems

Recent advances in physical reservoir computing: A review

(2019) Gouhei Tanaka et al.   NEURAL NETWORKS

Data-driven reconstruction of nonlinear dynamics from sparse observation

(2019) Kyongmin Yeo   JOURNAL OF COMPUTATIONAL PHYSICS

Training Echo State Networks with Regularization Through Dimensionality Reduction

(2017) Sigurd Løkse et al.   Cognitive Computation

Re-visiting the echo state property

(2012) Izzet B. Yildiz et al.   NEURAL NETWORKS

Functional identification of biological neural networks using reservoir adaptation for point processes

(2009) Tayfun Gürel et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Short-term stock price prediction based on echo state networks

(2008) Xiaowei Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS