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Updated: Jun 21, 2025

A Rapid Method for Modeling a Variable Cycle Engine
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Published on: August 13, 2019

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逐步转移学习用于推进基于机器学习的减少顺序建模

Teeratorn Kadeethum1, Daniel O'Malley2, Youngsoo Choi3

  • 1Sandia National Laboratories, Albuquerque, NM, 87185, USA.

Scientific reports
|July 8, 2024
PubMed
概括

一个新的减少顺序建模 (p-ROM) 框架的渐进转移学习通过选择性转移知识来增强机器学习 (ML). 这种方法显著提高了模型准确性,减少了用于科学应用的培训数据.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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