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NPG - Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network
GitHub - fbia/Taxi-prediction-EchoStateNetwork: A Python implementation of a Recurrent Neural Network, Echo State Network (ESN) to predict the end destination of a Taxi, given its partial trajectory.
The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction | PLOS ONE
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Mathematics | Free Full-Text | Uncertainty Quantification through Dropout in Time Series Prediction by Echo State Networks | HTML
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Applied Sciences | Free Full-Text | Effective Behavioural Dynamic Coupling through Echo State Networks | HTML
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