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相关概念视频

Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

94
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
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Reducing Line Loss01:18

Reducing Line Loss

154
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
154
Prediction Intervals01:03

Prediction Intervals

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

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Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
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Conservation of Mass in Fixed, Nondeforming Control Volume01:07

Conservation of Mass in Fixed, Nondeforming Control Volume

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The principle of conservation of mass is fundamental in fluid dynamics and is crucial for analyzing flow within fixed control volumes, such as pipes or ducts. This principle states that the total mass within a control volume remains constant unless altered by the inflow or outflow of mass through the control surfaces. This results in a vital relationship for steady, incompressible flow where the mass entering a system equals the mass leaving it.
In the case of a sewer pipe, which can be modeled...
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Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

88
Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
88

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符合损失控制预测的预测.

Di Wang, Ping Wang, Zhong Ji

    IEEE transactions on neural networks and learning systems
    |January 30, 2024
    PubMed
    概括

    本研究引入了符合损失控制预测,这是一个新的框架,扩展符合预测 (CP) 来控制单个测试对象的一般损失函数,而不仅仅是平均风险. 这种方法可以在各种应用中更好地控制预测错误.

    科学领域:

    • 机器学习 机器学习
    • 统计学学习理论

    背景情况:

    • 合规预测 (CP) 为预测集提供了覆盖保障.
    • 现有的方法专注于控制平均风险,而不是预测个人损失.

    研究的目的:

    • 扩展合规预测 (CP) 来控制单个测试对象的一般损失函数.
    • 开发一个符合损失控制预测的框架.

    主要方法:

    • 提出了一个新的学习框架:合规损失控制预测.
    • 在有限样本的情况下,在数据交换能力下证明了理论保证.
    • 经验测试了对分类和回归问题的框架.

    主要成果:

    • 对个别预测的一般损失函数进行有效控制.
    • 验证了不同类别损失分类和天气预报后处理中的方法.
    • 理论分析和实验证实了该框架的有效性.

    结论:

    • 符合损失控制预测为控制特定预测损失提供了CP的强大扩展.
    • 该框架适用于各种应用,包括点wise分类和回归.
    • 这项工作推进了可控制的预测方法,超出了平均风险.

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