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cs.LG2024
Stochastic Reservoir Computers
Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Reservoir computing is a form of machine learning that utilizes nonlinear dynamical systems to perform complex tasks in a cost-effective manner when compared to typical neural netw…
cs.LG2023
Improving the Performance of Echo State Networks Through State Feedback
Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Reservoir computing, using nonlinear dynamical systems, offers a cost-effective alternative to neural networks for complex tasks involving processing of sequential data, time serie…