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相关概念视频

Types Of Transformers01:16

Types Of Transformers

1.4K
Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
1.4K
Energy Losses in Transformers01:21

Energy Losses in Transformers

1.3K
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
1.3K
Transformers01:26

Transformers

1.7K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.7K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

392
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.
In the absence of...
392
Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.1K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.5K
3.5K

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相关实验视频

对于财务预测而言,深度上下文关注的变压器转移学习.

Ling Feng1, Ananta Sinchai1

  • 1School of Integrated Innovative Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.

PeerJ. Computer science
|September 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了2CAT,这是一种用于财务时间序列预测的深度学习模型. 它在各种股票市场实现了卓越的预测准确性,证明了有效的跨市场知识转移.

关键词:
语境学习是一种学习.功能提取 功能提取知识转移知识转移.时间预测时间预测.基于变压器的模型

相关实验视频

科学领域:

  • 计算金融是一种计算金融.
  • 机器学习用于时间序列.
  • 金融市场的深度学习

背景情况:

  • 财务时间序列预测对于投资决策至关重要.
  • 现有的深度学习模型在捕捉复杂的时间动态和跨市场的概括方面面临挑战.
  • 对于能够适应不同市场条件的强大模型的需求至关重要.

研究的目的:

  • 开发和评估2CAT (CNN相关联式注意力转换器),这是一种用于财务时间序列预测的新型深度学习模型.
  • 评估2CAT集成架构的有效性,包括信号分解,卷积层和基于相关性的注意.
  • 调查转移学习框架的好处,以加强跨市场通用化.

主要方法:

  • 开发了2CAT,整合了CNN,基于关联的注意力和变压器.
  • 采用转移学习框架,包括预训练,编码器结和微调.
  • 在六个主要股票指数上评估模型:DJIA,N225,HSI,SSE,BSE和SET.
  • 进行了废除研究和预测地平线分析.

主要成果:

  • 与深度变压器相比,2CAT在道斯工业平均指数 (DJIA) 上表现出更高的预测准确度 (例如,R2 的 0.9169 与 0.8274).
  • 在泰国证券交易所 (SET) 指数 (R2为0.9094) 上取得了显著的改善,此前这个市场对预测模型具有挑战性.
  • 威尔科克森的签名级别测试证实了在非转移和转移学习场景 (p <0.05) 中,在统计学上显著的绩效增长.
  • 转移学习实验验证实了跨市场知识转移的可行性和有效性.

结论:

  • 2CAT是一种强大的,可适应的深度学习框架,用于财务时间序列预测.
  • 该模型的架构有效地捕捉了时间模式,并在不同的金融市场上很好地概括.
  • 转移学习显著提高预测性能和适应各种市场条件的适应性.