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

45
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...
45
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

105
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...
105
Neuroplasticity01:01

Neuroplasticity

315
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
315
Heuristics01:21

Heuristics

83
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
83
Machines: Problem Solving II01:30

Machines: Problem Solving II

303
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
303
Machines: Problem Solving I01:22

Machines: Problem Solving I

310
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
310

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

Vagus nerve-dependent antidepressant effects of ineupatorolide B via gut microbiota modulation in a mouse model of depression.

Translational psychiatry·2026
Same author

The influence of mobile phone self-expansion on psychological richness: a moderated mediation model.

Frontiers in psychology·2026
Same author

Development of nontarget method based on GC-QTOF-HRMS for analyzing organic pollutants in human serum.

Journal of environmental sciences (China)·2026
Same author

Toward Breeding by Gene Design: Constructing the Ideotype of <i>Sorghum</i> (<i>Sorghum bicolor</i> (L.) Moench) Adapted for Modern Agricultural Production.

Plants (Basel, Switzerland)·2026
Same author

Dynamic shifts and molecular regulatory mechanisms of three predominant horizontal antibiotic resistance gene transfer modes during photocatalytic disinfection.

Journal of hazardous materials·2026
Same author

REDD1 deficiency alleviates podocyte PANoptosis and restores autophagy in diabetic kidney disease.

Molecular medicine (Cambridge, Mass.)·2026
Same journal

The heterogeneous treatment effects and joint effects of high-speed rail construction and low-carbon city pilot policy on urban economic resilience.

Fundamental research·2026
Same journal

Multiple waves of westward dry-land agriculture expansions along the East Silk Road during the Neolithic age.

Fundamental research·2026
Same journal

Biomedical imaging.

Fundamental research·2026
Same journal

Artificial intelligence in echocardiography: Applications and future directions.

Fundamental research·2026
Same journal

Performance of lunar shell structure for moonbase subjected to low gravity coupled with changing temperature.

Fundamental research·2026
Same journal

KREEP materials recorded in impact glasses of Chang'e-6 regolith returned from the South Pole-Aitken Basin.

Fundamental research·2026
查看所有相关文章

相关实验视频

Updated: Jun 16, 2025

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
06:33

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Published on: February 9, 2024

1.1K

针对硬件意识的神经网络修剪的多目标进化优化.

Wenjing Hong1, Guiying Li2, Shengcai Liu1

  • 1Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Fundamental research
|August 19, 2024
PubMed
概括
此摘要是机器生成的。

硬件意识的神经网络修剪优化了效率和准确性. 本研究介绍了多目标进化算法 (MOEA),以解决相互冲突的目标,介绍了一种新的算法HAMP,其性能优于现有方法.

关键词:
进化算法是一种进化算法.硬件效率 硬件效率 硬件效率机器学习是对硬件有意识的.多目标优化多目标优化神经网络的修剪神经网络的修剪

更多相关视频

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

998

相关实验视频

Last Updated: Jun 16, 2025

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
06:33

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Published on: February 9, 2024

1.1K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

998

科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 计算机工程 计算机工程

背景情况:

  • 神经网络修剪减少了计算复杂性,但传统方法使用的指标不够.
  • 由于新的硬件和现有修剪技术的局限性,硬件意识的网络修剪正在获得引力.
  • 平衡网络精度和硬件效率 (延迟,内存) 是一个多目标的挑战.

研究的目的:

  • 为了解决硬件意识网络修剪的多目标性质.
  • 提出和评估一种使用多目标进化算法 (MOEA) 的新方法.
  • 引入一个特定的memetic MOEA,HAMP,以实现高效的硬件意识的网络修剪.

主要方法:

  • 制定硬件意识的网络修剪作为一个多目标优化问题.
  • 开发了一种名为HAMP的新型记忆MOEA.
  • HAMP集成了一种高效的基于投资组合的选择机制和代理辅助的本地搜索.

主要成果:

  • MOEA可以为硬件意识的网络修剪提供一组帕雷托最佳解决方案.
  • 拟议的HAMP算法与最先进的方法相比,显示出更高的性能.
  • 经验研究证实了MOEA在解决这个复杂的优化任务中的有效性.

结论:

  • 多目标进化算法为硬件意识的神经网络修剪提供了一个有希望的框架.
  • 在HAMP算法有效平衡网络精度和硬件效率.
  • 这项工作通过为高效的深度学习模型提供更合适的优化策略,推动了该领域的发展.