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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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相关实验视频

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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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一个新的变压器自编码器用于多模态情绪识别与不完整的数据不完全的数据.

Cheng Cheng1, Wenzhe Liu2, Zhaoxin Fan3

  • 1Department of Computer Science and Technology, Dalian University of Technology, Dalian, China.

Neural networks : the official journal of the International Neural Network Society
|January 18, 2024
PubMed
概括

这项研究引入了一种新型的变压器自编码器 (TAE) 模型,以解决多模态情感识别 (MER) 中缺失的数据挑战. TAE模型有效地填充不完整的数据,即使在大量数据丢失的情况下,也显著提高了识别准确性.

关键词:
卷积编码器是一个卷积编码器.情绪识别 情绪识别不完整的数据不完全的数据.多模式信号多模式信号变压器自动编码器自动编码器

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科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 情感计算是一种情感计算.

背景情况:

  • 多模式信号对于全面的情绪识别至关重要.
  • 在现实数据中缺少的模式严重降低了情绪识别任务的性能.
  • 现有的方法与情绪识别的不完整的多模式数据集作斗争.

研究的目的:

  • 提出第一个基于变压器的架构,用于填充多模态情绪识别 (MER) 中的模态不完整数据.
  • 为了开发一个统一的模型,变压器自编码器 (TAE),能够处理部分观察到的多模信号.
  • 为了提高情绪识别系统在面对缺失数据时的稳定性和准确性.

主要方法:

  • 提出了一种新型的变压器自编码器 (TAE) 模型,其中包括特定模式的混合变压器编码器,模式间变压器编码器和卷积解码器.
  • 模式特定的编码器集成了卷积和变压器组件,以捕捉每个模式内的本地和全球环境.
  • 跨模式编码器对齐跨模式相关性和模型远程依赖性,而规范化术语有助于利用不完整的数据.

主要成果:

  • TAE模型在完整数据上实现了高准确度 (在DEAP和SEED-IV数据集上高达96.33%).
  • 在不完整的数据上保持了显著的表现,在DEAP上准确度达到93.25%,在SEED-IV上达到81.76%.
  • 该模型在不完整的多模式学习中比最先进的方法具有显著的优势 (5.61%的改进,缺少70%的数据).

结论:

  • 拟议的变压器自编码器 (TAE) 有效地解决了多模态情绪识别中缺失的模式的挑战.
  • 与现有方法相比,TAE表现优越,特别是在数据不完整的情景中.
  • 这项工作为现实世界,数据稀缺环境中的强大的情绪识别系统提供了有希望的方向.