Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics

Pantelis R. Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos

Type: Preprint

Publication Date: 2019-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1910.05266

View Publication

Locations

arXiv (Cornell University) - View
DSpace@MIT (Massachusetts Institute of Technology) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics	2019	Pantelis R. Vlachas Jaideep Pathak Brian R. Hunt Themistoklis P. Sapsis Michelle Girvan Edward Ott Petros Koumoutsakos
+	A Systematic Exploration of Reservoir Computing for Forecasting Complex Spatiotemporal Dynamics	2022	Jason A. Platt Stephen G. Penny Timothy A. Smith Tse‐Chun Chen Henry D. I. Abarbanel
+ PDF Chat	Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics	2020	Pantelis R. Vlachas Jay Pathak Brian R. Hunt Themistoklis P. Sapsis Michelle Girvan Edward Ott Petros Koumoutsakos
+ PDF Chat	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	2020	Ashesh Chattopadhyay Pedram Hassanzadeh Devika Subramanian
+	Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM	2019	Ashesh Chattopadhyay Pedram Hassanzadeh Krishna V. Palem Devika Subramanian
+ PDF Chat	Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM	2019	Ashesh Chattopadhyay Pedram Hassanzadeh Devika Subramanian
+	Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM	2020	Ashesh Chattopadhyay Pedram Hassanzadeh Devika Subramanian
+ PDF Chat	Hybridizing traditional and next-generation reservoir computing to accurately and efficiently forecast dynamical systems	2024	Ravi Chepuri Dael Amzalag Thomas M. Antonsen Michelle Girvan
+ PDF Chat	Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems	2024	Ravi Chepuri Dael Amzalag Thomas M. Antonsen Michelle Girvan
+	Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing	2022	Leonard Bereska Efstratios Gavves
+ PDF Chat	Next generation reservoir computing	2021	Daniel J. Gauthier Erik M. Bollt Aaron Griffith Wendson A. S. Barbosa
+ PDF Chat	Predictive Non-linear Dynamics via Neural Networks and Recurrence Plots	2024	Luiza Lober Mercedes Palmero F. A. Rodrigues
+ PDF Chat	Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing	2019	Alexander Haluszczynski Christoph Räth
+ PDF Chat	Predicting Chaotic System Behavior using Machine Learning Techniques	2024	Huaiyuan Rao Yichen Zhao Qiang Lai
+ PDF Chat	Temporal Convolution Derived Multi-Layered Reservoir Computing	2024	Johannes Viehweg Dominik Walther Prof. Dr. -Ing. Patrick Mäder
+	Long-term prediction of chaotic systems with recurrent neural networks	2020	Huawei Fan Junjie Jiang Chun Zhang Xingang Wang Ying‐Cheng Lai
+ PDF Chat	Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems	2024	Hunter Scott Heidenreich Pantelis R. Vlachas Petros Koumoutsakos
+ PDF Chat	Reservoir computing with diverse timescales for prediction of multiscale dynamics	2022	Gouhei Tanaka Tadayoshi MATSUMORI Hiroaki Yoshida Kazuyuki Aihara
+	Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics	2021	Gouhei Tanaka Tadayoshi MATSUMORI Hiroaki Yoshida Kazuyuki Aihara
+ PDF Chat	Product reservoir computing: Time-series computation with multiplicative neurons	2015	Alireza Goudarzi Alireza Shabani Darko Stefanović

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (0)

Action	Title	Year	Authors