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Updated: Jan 16, 2026

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
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Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

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时间变化的自回归模型:使用物理信息的神经网络的新方法.

Zhixuan Jia1, Chengcheng Zhang2

  • 1School of Information Management, Wuhan University, Wuhan 430072, China.

Entropy (Basel, Switzerland)
|September 27, 2025
PubMed
概括

这项研究引入了一种新的物理信息神经网络 (PINN) 框架,用于时间变化的自回归 (TV-AR/TV-VAR) 模型. 这种方法增强了对非静止时间序列数据中复杂时间动态的分析.

关键词:
一般化的增材模型.高维时间序列分析分析.核的平滑使其变得光滑.基于物理学的神经网络.时间变化的自回归模型.

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