机器引导发现现实世界的流波模型
Dion Häfner1,2, Johannes Gemmrich3, Markus Jochum2
1Pasteur Labs, Brooklyn, NY 11205.
概括
这项研究引入了一种结合深度学习和符号回归的新方法,以从数据中发现科学模型. 这种方法成功地预测了海洋流波的准确性提高,推动了科学发现.
科学领域:
- 海洋学 海洋学 海洋学
- 物理 物理学 物理
- 数据科学数据科学数据科学
背景情况:
- 机器学习在模式匹配方面表现出色,但由于目标不一致,它在科学发现方面扎.
- 科学理论需要因果一致性,可解释性和推理能力,而不仅仅是准确性.
研究的目的:
- 开发一种使用机器学习的方法,从数据中发现可解释的因果科学模型.
- 为了创建一个象征性的模型来预测海洋的流波.
主要方法:
- 利用因果分析,深度学习 (人工神经网络) 和符号回归.
- 在波浪浮标的观测数据上训练神经网络,专注于因果特征.
- 采用节导向的模型选择来将复杂的模型提炼成可解释的方程.
主要成果:
- 开发了一个对流波的象征模型,该模型保留了预测能力,并允许科学解释.
- 新模型复制了已知的波浪行为,并产生了精确校准的概率.
- 与现有理论相比,在未见的数据上取得了优异的预测性能.
结论:
- 展示了机器学习在诱导科学发现方面的潜力.
- 强调深度学习和象征回归之间的协同作用,以创建可解释的科学模型.
- 铺平了极端海洋事件 (如流浪) 的增强预测的道路.
更多相关视频
相关概念视频
Typical Model Studies
362
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
362
Propagation of Waves
2.3K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
2.3K
Modeling and Similitude
269
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
269
Rapidly Varying Flow
64
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
64
Design Example: Creating a Hydraulic Model of a Dam Spillway
187
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
187
Turbulent Flow: Problem Solving
139
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
139


