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

53
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...
53
Genetic Drift03:33

Genetic Drift

39.7K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
39.7K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

487
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
487
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

235
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
235
Elevation of Intermediate Points on Vertical Curves01:20

Elevation of Intermediate Points on Vertical Curves

29
Vertical curves are essential in roadway design because they provide smooth transitions between varying roadway grades. Designing vertical curves involves calculating intermediate elevations and identifying the curve's highest or lowest point, which is essential for optimal roadway performance.Intermediate elevations on a vertical curve are determined using the tangent offset method. This method considers the initial elevation at the start of the curve, the grades, and the curve's geometry. The...
29
Gauss's Law: Problem-Solving01:10

Gauss's Law: Problem-Solving

1.7K
Gauss's law helps determine electric fields even though the law is not directly about electric fields but electric flux. In situations with certain symmetries (spherical, cylindrical, or planar) in the charge distribution, the electric field can be deduced based on the knowledge of the electric flux. In these systems, we can find a Gaussian surface S over which the electric field has a constant magnitude. Furthermore, suppose the electric field is parallel (or antiparallel) to the area...
1.7K

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

The m6A Epitranscriptome in Cancer Therapy Resistance: From Cellular Plasticity and Metabolic Rewiring to Immune Escape and Therapeutic Targeting.

Cancer letters·2026
Same author

Umbilical cord blood natural killer cells improve anti-GD2 antibody efficacy in neuroblastoma: from mouse to human.

Oncoimmunology·2026
Same author

Phospho-JNK agonists show promising effects for the treatment of hepatocellular carcinoma.

iScience·2026
Same author

In vivo base editing of Asgr1 reduces blood lipids in mice.

Molecular therapy : the journal of the American Society of Gene Therapy·2026
Same author

WBT-DC pipeline: a cross-cohort and cross-platform disease classification pipeline based on whole-blood transcriptomics.

Journal of translational medicine·2026
Same author

Tim-3 facilitates dendritic cell ferroptosis and impairs antitumor immunity in steatohepatitis-related HCC.

Journal of hepatology·2026
Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

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

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

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

Self-Supervised Continuous Dynamic Graph Representation Learning via Hawkes Processes.

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

cPU: Consistent Risk Estimator for Positive-Unlabeled Learning.

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

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing.

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

相关实验视频

Updated: Jun 28, 2025

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.1K

NGDE:一个基于的梯度定向进化算法,用于非凸的优化.

Qi Yu, Xijun Liang, Mengzhen Li

    IEEE transactions on neural networks and learning systems
    |April 15, 2024
    PubMed
    概括
    此摘要是机器生成的。

    新型基于化梯度定向进化 (NGDE) 算法解决了高维非凸式优化挑战. NGDE增强了机器学习和数据科学应用的全球搜索能力,提高了神经网络训练和分类准确性.

    更多相关视频

    A Gradient-generating Microfluidic Device for Cell Biology
    11:05

    A Gradient-generating Microfluidic Device for Cell Biology

    Published on: August 30, 2007

    15.3K
    In Vitro Directed Evolution of a Restriction Endonuclease with More Stringent Specificity
    09:16

    In Vitro Directed Evolution of a Restriction Endonuclease with More Stringent Specificity

    Published on: March 25, 2020

    7.3K

    相关实验视频

    Last Updated: Jun 28, 2025

    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.1K
    A Gradient-generating Microfluidic Device for Cell Biology
    11:05

    A Gradient-generating Microfluidic Device for Cell Biology

    Published on: August 30, 2007

    15.3K
    In Vitro Directed Evolution of a Restriction Endonuclease with More Stringent Specificity
    09:16

    In Vitro Directed Evolution of a Restriction Endonuclease with More Stringent Specificity

    Published on: March 25, 2020

    7.3K

    科学领域:

    • 机器学习 机器学习
    • 优化算法 优化算法
    • 数据科学数据科学数据科学

    背景情况:

    • 非凸式优化在机器学习和数据科学中很常见.
    • 基于梯度的方法有风险局部最佳;进化算法是计算密集的.
    • 高维问题需要高效的全球优化策略.

    研究的目的:

    • 介绍一种新的算法,以化为基础的梯度定向演化 (NGDE),用于高维非凸式优化.
    • 解决现有的渐变式和进化算法的局限性.
    • 在复杂的优化任务中提高性能.

    主要方法:

    • NGDE生成解决方案,并将其分为不同探索的利基.
    • 一个梯度定向的突变运算符创造了候选后代.
    • 使用全梯度和迷你批次近似分析趋同.

    主要成果:

    • 在最小化多式联络功能方面,NGDE表现出卓越的性能.
    • 该算法在LeNet-5神经网络中显著提高了分类准确性,特别是在较小的训练数据集中.
    • 有效地探索不同的可行区域区域.

    结论:

    • NGDE为高维非凸优化提供了一种有效的方法.
    • 该算法平衡了探索和利用,以改善全球搜索.
    • NGDE显示出增强机器学习模型培训和性能的前景.