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

Randomized Experiments01:13

Randomized Experiments

7.0K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
7.0K
Random Variables01:09

Random Variables

12.4K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
12.4K
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

578
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...
578
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

639
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
639
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

125
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...
125
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
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...
81

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

Compact and robust MLA-assisted FI/FO device with low loss for MCF systems fabricated by 3D nanoprinting.

Optics letters·2026
Same author

Deprotonation suppressing via competitive proton transfer control for efficient perovskite solar cells.

Nature communications·2026
Same author

Extensive frontal cortex abnormalities and cognitive impairment in methamphetamine use disorder: a comprehensive 3T structural MRI analysis.

BMC psychiatry·2026
Same author

Impact of ferroelectric polarization dynamics on thermal reliability in Ferro-FinFETs.

Discover nano·2026
Same author

Identification of the Absorbed Constituents and Metabolites of Shenyanshu Tablets in Rat Plasma by Ultrahigh-Performance Liquid Chromatography Coupled With Quadrupole Time-of-Flight Mass Spectrometry.

Biomedical chromatography : BMC·2026
Same author

Ultrasmall Au<sub>10-12</sub> Nanoclusters: A Novel Platform for <sup>223</sup>Ra-Targeted Tumor α-Therapy.

Exploration (Beijing, China)·2026

相关实验视频

Updated: Jul 24, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

对于随机权重网络的紧约束增量方法及其应用.

Qianjin Wang, Wei Dai, Chunfu Zhang

    IEEE transactions on neural networks and learning systems
    |July 10, 2023
    PubMed
    概括

    对于增量随机权重网络 (IRWNs) 的新型紧约束方法改善了概括和网络结构. 这种方法指导随机参数分配,减少冗余节点以获得更好的性能.

    科学领域:

    • 人工智能的人工智能
    • 机器学习 机器学习
    • 神经网络的神经网络的神经网络

    背景情况:

    • 渐进式随机权重网络 (IRWNs) 往往受到普遍化不良和复杂结构的影响.
    • 这在很大程度上是由于随机的,未指导的学习参数分配,导致冗余的隐藏节点和性能降低.

    研究的目的:

    • 开发一种具有紧约束的新型增量随机权重网络 (CCIRWN),以指导随机学习参数的分配.
    • 解决传统IRWNs中弱概括和复杂的网络结构的局限性.

    主要方法:

    • 引入了使用格里维尔代方法来学习参数配置的紧约束.
    • 确保隐藏节点的同时质量和CCIRWN的融合.
    • 分析评估了CCIRWN的输出权重.
    • 提出了两个学习方法来构建CCIRWN.

    主要成果:

    • CCIRWN在各种应用中表现出有利的泛化能力.
    • 绩效是根据1D非线性函数近似,现实世界数据集和工业数据驱动估计来评估的.
    • 数字和工业实例证实了紧结构的有效性.

    结论:

    更多相关视频

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.2K
    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.4K

    相关实验视频

    Last Updated: Jul 24, 2025

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.1K
    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.2K
    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
    09:49

    Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

    Published on: September 25, 2021

    4.4K
    • 拟议的CCIRWN有效地克服了传统IRWNs的局限性.
    • 紧的约束方法导致了改进的概括和更简化的网络架构.
    • CCIRWN为需要高效准确的函数近似和估计的应用提供了一个有前途的解决方案.