Data-Driven Discovery of Stochastic Differential Equations
Stochastic differential equations (SDEs) are mathematical models that are widely used to describe complex processes or phenomena perturbed by random noise from different sources. The identification of SDEs governing a system is often a challenge because of the inherent strong stochasticity of data a...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-10-01
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Series: | Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S209580992200145X |