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

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

109
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
109
Heuristics01:21

Heuristics

111
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...
111
Genetic Drift03:33

Genetic Drift

39.9K
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.
39.9K
Multiple Allele Traits01:49

Multiple Allele Traits

34.3K
The Concept of Multiple Allelism
34.3K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

129
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...
129
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

Staple-Line Reinforcement in Sleeve Gastrectomy.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP·2026
Same author

An analytical exploration of dark and bright solitary wave solutions of time-fractional (3+1) -dimensional generalized Painlevé-type equation.

Scientific reports·2026
Same author

A hybrid optimized framework with energy shape prior segmentation for brain tumor detection in MRI images.

Digital health·2026
Same author

Digital twin-assisted blockchain IoT security model using contrastive and causal learning techniques.

Scientific reports·2026
Same author

Synthesis of Pharmacologically Important Perimidines using Eco-Friendly Deep Eutectic Solvents.

ChemPlusChem·2026
Same author

Effectiveness of bariatric surgery in improving sleep-related symptoms of obstructive sleep apnoea in obese patients: a retrospective cohort study.

BMC surgery·2026

相关实验视频

Updated: Jul 21, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

适应性遗传算法用于在多标准推系统中发现用户偏好.

Mohammed Wasid1, Rashid Ali1,2, Sana Shahab3

  • 1Interdisciplinary Centre for Artificial Intelligence, Aligarh Muslim University, Aligarh, India.

Heliyon
|July 28, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的遗传算法,用于在多标准推系统 (MCRS) 中发现用户偏好. 适应性方法有效地识别了用户在多个标准上的喜好,提高了推准确性.

关键词:
协作过是一种合作过.遗传算法 遗传算法 遗传算法采用多个标准的决策.标准化评级计数标准化评级计数推系统是一个推系统.

更多相关视频

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K

相关实验视频

Last Updated: Jul 21, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K

科学领域:

  • 人工智能的人工智能
  • 计算机科学 计算机科学
  • 信息检索 信息检索

背景情况:

  • 多标准推系统 (MCRS) 利用各种产品因素的用户偏好进行有效的推.
  • 由于多标准产品评估的复杂性,在MCRS中引出精确的用户偏好仍然是一个重大挑战.

研究的目的:

  • 提出一种新的三相适应性遗传算法,用于在多标准推系统中发现用户偏好.
  • 通过在多个标准上准确地建模用户偏好来提高产品推的准确性.

主要方法:

  • 开发了一种三相适应性遗传算法方法来模拟用户偏好.
  • 权重分配给多标准特征,用户偏好通过基因算法在相似性计算过程中被学习.
  • 产品推是根据预测的用户偏好生成的.

主要成果:

  • 提出的基于遗传算法的方法显著优于传统的多标准和单一标准推系统.
  • 在雅虎上表现出卓越的性能! 电影数据集跨越各种评估指标.
  • 通过准确地捕捉个人偏好,成功识别了志同道合的用户.

结论:

  • 适应性遗传算法有效地解决了MCRS中偏好诱导的挑战.
  • 这种方法通过在多个标准上准确反映用户偏好来提高推质量.
  • 该方法为开发更复杂和个性化的推系统提供了一个有希望的方向.