卷积神经网络在变压器时代的新型应用
Tansel Ersavas1, Martin A Smith2,3,4,5, John S Mattick6
1School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia. t.ersavas@unsw.edu.au.
Scientific reports
|May 1, 2024
概括
卷积神经网络 (CNN) 可以通过将其转换为伪图像来分析复杂的高维数据. 这个DeepMapper管道有效地检测数据集中的微妙变化,如分子生物学,文本和语音.
科学领域:
- 人工智能的人工智能
- 深度学习 (Deep Learning) 是一种深度学习.
- 计算机视觉 计算机视觉
背景情况:
- 卷积神经网络 (CNN) 是深度学习和人工智能的基础.
- 变形金刚最近成为主导,掩盖了CNN,尽管它们的持续相关性.
- 在分析复杂,高维数据集方面,CNN的全部潜力仍未得到充分探索,尤其是在分析复杂,高维数据集方面.
研究的目的:
- 为了证明CNN在分散的像素数据中识别模式的能力.
- 引入一种通用方法,用于将CNN应用于各种高维数据集.
- 介绍DeepMapper,一个用于高效高维数据分析的新型管道.
主要方法:
- 将高维数据集转换为伪图像,处理时间最小.
- 利用卷积神经网络 (CNN) 在这些伪图像中进行模式识别.
- 实现DeepMapper管道用于直接分析,无需中间过或尺寸缩小.
主要成果:
- 通过分散的像素,CNN可以有效地识别图像中的模式.
- DeepMapper 通过避免尺寸减小来保持数据纹理,从而能够检测微妙的变化.
- 对于大型,高特征数据集,DeepMapper表现出优越的速度和与现有方法可比的准确性.
结论:
- 在各种领域中,CNN提供了一种强大的,可通用的方法来分析复杂的,高维数据.
- DeepMapper提供了一种高效有效的方法,用于发现大型数据集中的小扰动.
- 这项工作突显了CNN在现代数据分析和AI研究中的未充分利用的潜力.
相关概念视频
01:27Transformers in Distribution System
102
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
102
01:16Types Of Transformers
971
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...
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...
971
01:25Transformers with Off-Nominal Turns Ratios
151
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
151
01:24Convolution: Math, Graphics, and Discrete Signals
249
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
249
01:26The Ideal Transformer
380
In single-phase two-winding transformers, two windings are coiled around a magnetic core characterized by cross-sectional area A and magnetic permeability μ. A phasor current i1 enters the left winding while i2 exits the right winding, establishing the fundamental working of the transformer through electromagnetic principles.
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
Ampere's Law forms the basis of understanding the magnetic field within the transformer. It states that the integral of the magnetic field intensity's...
380
01:17Convolution Properties II
192
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
192