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相关概念视频

Multimachine Stability01:25

Multimachine Stability

151
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Acceleration Vectors

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In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Scalar and Vector Triple Products01:06

Scalar and Vector Triple Products

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Two vectors can be multiplied using a scalar product or a vector product. The resultant of a scalar product is scalar, while with vector products, the resultant is a vector. These rules of the scalar or vector product between two vectors can be applied to multiple vectors to obtain meaningful combinations. The scalar triple product is the dot product of a vector with the cross product of two vectors.
The scalar triple product is the dot product of a vector with the cross product of two vectors....
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Two-Dimensional Force System01:20

Two-Dimensional Force System

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A two-dimensional system in mechanical engineering involves the analysis of motion and forces in a plane. A two-dimensional force vector can be resolved into its components as:
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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相关实验视频

Updated: Jun 24, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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连续安全的静态和动态选规则用于加速支张力机器.

Hongmei Wang1, Kun Jiang2, Xiao Li3

  • 1Business School, Shandong Normal University, Jinan 250014, China.

Neural networks : the official journal of the International Neural Network Society
|June 1, 2024
PubMed
概括

本研究介绍了一种高效的顺序安全静态和动态选规则 (SS-SDSR),以加快支持 Tensor 机器 (STM) 训练. 该方法减少了冗余变量,而不会影响分类准确性.

关键词:
安全选规则安全选规则稀少的学习学习.支持张量机的支持张量机.

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科学领域:

  • 机器学习 机器学习
  • 数据科学数据科学数据科学
  • 计算统计学 计算统计学

背景情况:

  • 支持张量机 (STM) 是有效的张量数据分类,保存结构和减轻维度.
  • 传统的STM方法依赖于耗时的交替投影代技术.

研究的目的:

  • 为加速STM提出一个有效的顺序安全静态和动态选规则 (SS-SDSR).
  • 通过在训练过程中识别和删除冗余变量而减少计算成本,而不会损失准确性.

主要方法:

  • 开发了基于变异不平等和二元差距的静态和动态选规则.
  • 实施了一种连续的选过程,使用具有不同参数的静态规则和具有一致参数的动态规则.

主要成果:

  • 人工数据集的实验表明SS-SDSR在适当的参数间隔和选频率的数据形式中是有效的.
  • 在11个矢量和6个张量数据集上的数值实验表明SS-SDSR的可行性和有效性与其他五种算法相比.

结论:

  • 拟议的SS-SDSR有效地加速了STM培训.
  • 该方法是高效的,安全的,在各种数据集上表现出强的性能.