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相关概念视频

Multi-input and Multi-variable systems01:22

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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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Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
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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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The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Instrument transformers, comprising voltage transformers (VTs) and current transformers (CTs), play crucial roles in power substations by providing isolated replicas of current or voltage for measurement and protection purposes. Voltage transformers reduce the primary voltage to levels suitable for relay operation and measurement, while current transformers scale down the primary current. The primary winding of a current transformer often consists of a single turn, achieved by threading the...
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Updated: Sep 9, 2025

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VCformer:用于多变量时间序列预测的变量中心多尺度变压器

Junyu Zhu1, Enguang Zuo2,3, Xinyu Bi1

  • 1School of Computer Science and Technology, Xinjiang University, Urumqi 830046, China.

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|August 28, 2025
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概括
此摘要是机器生成的。

本研究介绍了多变量时间序列预测的变量中心变压器 (VCformer). 通过专注于变量互动而不是时间,提高预测准确度,尤其对于复杂的高维数据.

关键词:
长期序列预测多变量时间序列代表性学习顺序转换

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科学领域:

  • 机器学习
  • 数据科学
  • 时间序列分析

背景情况:

  • 多变量时间序列预测对于金融和气候至关重要.
  • 现有的以时间为中心的模型与复杂的相互变量依赖性作斗争.

研究的目的:

  • 建议使用变量中心变压器 (VCformer) 来改进多变量时间序列预测.
  • 解决传统的以时间为中心的建模模式的局限性.

主要方法:

  • 通过序列转换引入了以变量为中心的注意力范式.
  • 开发了可变和可变组级建模的双级架构.
  • 使用自适应变量分组机制和参数共享双路径编码器.

主要成果:

  • 在七个基准数据集中,VCformer的预测准确度显著提高.
  • 超过传统的以时间为中心的方法,特别是在高维数据集上.
  • 废除研究证实了单个成分的有效性.

结论:

  • 对于多变量时间序列预测,VCformer提供了卓越的性能和建模功能.
  • 以变量为中心的方法有效地捕捉了复杂的变量之间的依赖关系.
  • 拟议的架构对高维度预测任务具有稳定性.