Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

12.6K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
12.6K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.8K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.8K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

384
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...
384
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

481
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...
481
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

426
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
426
Rules for Defining Functions01:29

Rules for Defining Functions

323
A relation is a function if each input x is associated with exactly one output y. For example, the equation      y = 2x + 5 defines a function because every value of x yields a unique y. However, x = y² + 1 is not a function of x, since a single x-value, such as x = 2, corresponds to two possible y-values: y = 1 and y = -1.The vertical line test helps determine whether a graph represents a function. If a vertical line intersects a curve more than once, the curve fails...
323

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Association between questionnaire-based and accelerometer-based physical activity and the incidence of psychiatric disorders in people with loneliness or social isolation: findings from the UK Biobank.

European archives of psychiatry and clinical neuroscience·2026
Same author

Generative artificial intelligence in oncology nursing practice.

European journal of oncology nursing : the official journal of European Oncology Nursing Society·2026
Same author

Machine learning methods to predict leprosy misdiagnosis in Yunnan Province, People's Republic of China.

Frontiers in public health·2026
Same author

Blocking MOXD1-derived ACOX1 peroxisome trafficking suppresses metabolic dysfunction-associated steatohepatitis.

Gut·2026
Same author

Comparative Analysis of Physicochemical Properties, Antioxidant and Enzyme Inhibitory Activities of Sporoderm-Broken <i>Ganoderma lucidum</i> Spore Powders from Different Regions in China.

Foods (Basel, Switzerland)·2026
Same author

Correction to "An Anionic Cathelicidin Exerts Antimelanoma Effects in Mice by Promoting Pyroptosis".

Journal of medicinal chemistry·2026
Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026
Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026
查看所有相关文章

相关实验视频

Updated: Jun 21, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

通过基于规则的推理进行序列对序列学习的生成模糊系统.

Hailong Yang, Zhaohong Deng, Wei Zhang

    IEEE transactions on neural networks and learning systems
    |October 28, 2025
    PubMed
    概括
    此摘要是机器生成的。

    生成模糊系统 (GenFS) 通过结合数据驱动和知识驱动的方法来增强大型语言模型 (LLM). 拟议的FuzzyS2S模型改进了序列生成任务,如翻译和代码生成.

    更多相关视频

    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
    09:34

    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

    Published on: September 25, 2021

    相关实验视频

    Last Updated: Jun 21, 2026

    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
    11:53

    The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

    Published on: October 14, 2017

    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
    09:34

    A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

    Published on: September 25, 2021

    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 模糊系统 (Fuzzy Systems) 是一个模糊系统.

    背景情况:

    • 生成模型 (GMs),包括大型语言模型 (LLMs),在创建新数据方面表现出色,但往往缺乏可解释性和更广泛的知识获取.
    • 它们的复杂,数据驱动的性质阻碍了对输出的理解和控制,限制了稳定性和概括性.

    研究的目的:

    • 通过整合数据驱动和知识驱动机制来增强生成任务.
    • 引入一种新的生成模糊系统 (GenFS) 框架,将GM深度学习与模糊系统可解释性相结合.
    • 为序列生成开发一个端到端的基于GenFS的模型.

    主要方法:

    • 利用模糊系统,一种经典的建模方法,来补充GM.
    • 提出了GenFS框架,将深度学习与模糊逻辑的基于术语的可解释性和双驱动机制相结合.
    • 开发用于序列生成任务的FuzzyS2S模型.

    主要成果:

    • 在机器翻译,代码生成和摘要生成的12个数据集上进行了测试研究.
    • 与变压器模型相比,FuzzyS2S表现出更高的准确性和流性.
    • 在特定应用场景中超越了最新的T5和CodeT5模型.

    结论:

    • 通过结合知识驱动的洞察力,GenFS框架有效地增强了生成模型.
    • FuzzyS2S为更强大和可解释的序列生成提供了一个有前途的方法.
    • 这种混合方法显示了在复杂的生成任务中推进AI能力的潜力.