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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

52
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
52
Controller Configurations01:22

Controller Configurations

94
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
94
Control Systems01:10

Control Systems

1.1K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.1K
Design Consideration01:22

Design Consideration

186
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
186
Stability of structures01:14

Stability of structures

162
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
162
SFG Algebra01:16

SFG Algebra

116
In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
116

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 of sleep duration with Alzheimer's disease and cognition.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

From whole-body to organ-specific biological age clocks.

Nature aging·2026
Same author

RMP-YOLO: Robust Multi-Scale Pedestrian Detection for Dense Scenarios.

Sensors (Basel, Switzerland)·2026
Same author

Sleep chart of biological ageing clocks in middle and late life.

Nature·2026
Same author

Targeted drug delivery systems for cardiovascular disease treatment: principles, targeting strategies, and future prospects.

Annals of medicine·2026
Same author

Biochemical and brain heterogeneity characterizes psychiatric and non-psychiatric illness.

Nature communications·2026

相关实验视频

Updated: Jun 27, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.0K

基于模型配置和融合的复杂系统的适应性坚固结构探索.

Yingfei Qu1, Wanbing Liu2, Junhao Wen1

  • 1Computer Science and Technology Post-Doctoral Station, Chongqing University, Chongqing, China.

PeerJ. Computer science
|April 25, 2024
PubMed
概括

本研究介绍了使用生成模型探索复杂系统结构的自适应算法. 它优化节点参数以揭示潜伏特征,克服传统方法的局限性,以获得更好的洞察力.

关键词:
算法融合算法 融合算法复杂的网络是一个复杂的网络.复杂的系统复杂的系统.模型配置配置模型的配置.多种结构特征多种结构特征.

更多相关视频

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.5K
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

11.6K

相关实验视频

Last Updated: Jun 27, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.0K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.5K
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

11.6K

科学领域:

  • 网络科学 网络科学
  • 计算社会科学 计算社会科学
  • 数据挖掘 数据挖掘

背景情况:

  • 分析复杂的系统是很困难的,传统的方法往往会产生偏见的结论,因为它们只专注于社区等结构.
  • 由于其范围有限,现有的方法可能会错过复杂系统的关键特征.

研究的目的:

  • 提出一种适应性算法来探索复杂的系统结构.
  • 使用生成模型来计算和优化代表潜在结构特征的节点参数.
  • 在基准和现实世界网络上证明算法的有效性和适应性.

主要方法:

  • 开发一个采用生成模型的自适应算法.
  • 优化节点参数以捕捉底层系统结构.
  • 测试了算法融合策略,以提高适应性.
  • 在10个基准网络和两个现实网络上进行了比较实验.

主要成果:

  • 提出的方法有效地计算和优化反映潜在结构特征的节点参数.
  • 在基准网络上的实验证实了该方法的有效性和稳定性.
  • 在现实世界网络上的测试表明,该算法可以发现各种结构特征,如集群,重叠和局部链接.

结论:

  • 适应性算法为分析复杂系统结构提供了一种强大而有前途的方法.
  • 这种方法提供了超越传统社区检测的系统特征的更全面的理解.
  • 基于生成模型的方法增强了对复杂网络属性的探索.