Time Series Prediction and Neural Networks
https://doi.org/10.1023/a:1012074215150
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https://doi.org/10.1023/a:1012074215150
Artificial neural networks are computer algorithms or computer programs derived in part from attempts to model the activity of nerve cells. They have been applied to pattern recognition, classification, and optimization problems in the phys...
https://doi.org/10.1080/00401706.1996.10484497
A machine-learning approach called "reservoir computing" has been used successfully for short-term prediction and attractor reconstruction of chaotic dynamical systems from time series data. We present a theoretical framework that describes...
https://doi.org/10.1063/1.5039508