Accuracy of neural networks for the simulation of chaotic dynamics: precision of training data vs precision of the algorithm

8 Jul 2020 S. Bompas B. Georgeot D. Guéry-Odelin

We explore the influence of precision of the data and the algorithm for the simulation of chaotic dynamics by neural networks techniques. For this purpose, we simulate the Lorenz system with different precisions using three different neural network techniques adapted to time series, namely reservoir computing (using ESN), LSTM and TCN, for both short and long time predictions, and assess their efficiency and accuracy... (read more)

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