Transfer learning of chaotic systems

no code implementations • 15 Nov 2020 • Yali Guo, Han Zhang, Liang Wang, Huawei Fan, Xingang Wang

Here we investigate transfer learning of chaotic systems from the perspective of synchronization-based state inference, in which a reservoir computer trained by chaotic system A is used to infer the unmeasured variables of chaotic system B, while A is different from B in either parameter or dynamics.

General Knowledge Time Series +2