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Mar, 2021
基于数据的一般哈密顿动力学预测——学习精确辛映射
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
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Renyi Chen, Molei Tao
TL;DR
使用生成函数的神经网络逼近演化映射,以实现非线性时间序列的学习和预测。
Abstract
We consider the learning and prediction of
nonlinear time series
generated by a
latent symplectic map
. A special case is (not necessarily separable)
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