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相关概念视频

Batteries and Fuel Cells03:12

Batteries and Fuel Cells

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A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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An Otto engine is a four-stroke engine that uses a mixture of gasoline and air as the working fuel. The fuel is injected into the cylinder, and the piston is moved completely down so that the cylinder is at maximum volume. By moving the piston up, adiabatic compression takes place. The spark plug ignites the gasoline-air mixture, and the burning fuel adds heat to the system at a constant volume. The heated mixture expands adiabatically and gets further cooled by exhausting heat, and this cyclic...
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A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
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Enthalpy changes are typically tabulated for reactions in which both the reactants and products are at the same conditions. A standard state is a commonly accepted set of conditions used as a reference point for the determination of properties under other different conditions. For chemists, the IUPAC standard state refers to materials under a pressure of 1 bar and solutions at 1 M and does not specify a temperature. Many thermochemical tables list values with a standard state of 1 atm. Because...
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Updated: May 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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机器学习车辆燃油效率预测预测

So-Rin Yoo1, Jae-Woo Shin2, Seoung-Ho Choi3

  • 1Department of AI Application, Hansung University, 116, Samseongyo-ro 16-gil, Seongbuk-gu, Seoul, 02876, Republic of Korea.

Scientific reports
|April 28, 2025
PubMed
概括
此摘要是机器生成的。

机器学习准确地预测车辆的燃油效率,使用燃料类型和发动机大小等关键属性. 该框架确定了在燃料消耗方面做出更好的决策的关键因素.

关键词:
燃料框架 是一个燃料框架.燃油标记器的使用情况燃油消耗 燃油消耗 燃油消耗 燃油消耗机器学习 机器学习汽车燃料 汽车燃料

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科学领域:

  • 汽车工程 汽车工程
  • 数据科学数据科学数据科学
  • 机器学习 机器学习

背景情况:

  • 车辆的高燃料消耗带来了环境和经济方面的挑战.
  • 准确预测燃油效率对于明智的决策和车辆设计至关重要.

研究的目的:

  • 开发一种机器学习框架,用于预测车辆的燃油效率.
  • 确定影响燃油效率预测的关键车辆属性.

主要方法:

  • 利用一个全面的框架,整合各种车辆信息进行预测.
  • 对比了6个机器学习模型,包括额外树木回归器和随机森林回归器.
  • 采用了评估指标,如平均平方误差 (MSE),根平均平方误差 (RMSE),平均绝对误差 (MAE) 和R平方得分.
  • 应用SHAP,LIME和赔率比率分析来解释模型预测和评估因素影响.

主要成果:

  • 拟议的机器学习框架成功预测了车辆的燃油效率.
  • 额外树木回归器和随机森林回归器表现出高预测准确度,擅长捕捉非线性关系.
  • 确定了诸如燃料类型,发动机排量和车辆等级等关键因素,这些因素会显著影响燃油效率.

结论:

  • 机器学习提供了一个强大的方法来预测车辆的燃油效率.
  • 了解特定车辆属性的影响对于提高预测准确性和支持决策至关重要.
  • 该研究强调了可解释的AI方法在汽车应用中的重要性.