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Jul, 2023
使用集合卡尔曼反演的神经ODE无梯度训练在系统识别和控制中的应用
Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion
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Lucas Böttcher
TL;DR
本篇研究使用Ensemble Kalman inversion方法来训练神经常数方程(neural ODEs)用于系统辨识和控制,并发现EKI是一种高效的优化方法,其运行时和解决方案的质量与常用的基于梯度的优化器相当竞争力。
Abstract
ensemble kalman inversion
(EKI) is a sequential Monte Carlo method used to solve inverse problems within a
bayesian framework
. Unlike backpropagation, EKI is a gradient-free optimization method that only necessit
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