Learning particle swarming models from data with Gaussian processes
Jinchao Feng,
Charles Kulick,
Yunxiang Ren
et al.
Abstract:Interacting particle or agent systems that exhibit diverse swarming behaviors are prevalent in science and engineering. Developing effective differential equation models to understand the connection between individual interaction rules and swarming is a fundamental and challenging goal. In this paper, we study the data-driven discovery of a second-order particle swarming model that describes the evolution of
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