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

Upsampling01:22

Upsampling

242
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
242
Downsampling01:20

Downsampling

167
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
167

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 Gyro-Top Optimization: A Physics-inspired Metaheuristic for Engineering Optimization and a Case Study of Feature Selection.

Journal of advanced research·2026
Same author

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Bisphenol A promotes esophageal carcinogenesis by activating the MMP1-PCOLCE regulatory axis and remodeling the tumor immune microenvironment.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

The translational roles of circular RNAs in cancers and their underlying molecular mechanisms.

Medical oncology (Northwood, London, England)·2026
Same author

Venetoclax plus Idarubicin and cytarabine as frontline induction for newly diagnosed acute myeloid leukemia in young, fit adults: a real-world study.

Annals of hematology·2026
Same author

Clinicopathological characteristics of alveolar adenoma.

Frontiers in oncology·2026

相关实验视频

Updated: Jul 12, 2025

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.8K

一个加速的正弦映射鱼优化器用于特征选择选择.

Helong Yu1, Zisong Zhao1, Ali Asghar Heidari2

  • 1College of Information Technology, Jilin Agricultural University, Changchun 130118, China.

iScience
|October 20, 2023
PubMed
概括
此摘要是机器生成的。

一个新的基于弦值的鱼优化算法 (SWEWOA) 通过平衡勘探和开发来提高全球优化. 这种改进的算法在分类任务的特征选择方面表现出色,性能优于现有的方法.

关键词:
计算机科学 计算机科学工程 工程师 工程师 工程师自然科学 自然科学

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
Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K

相关实验视频

Last Updated: Jul 12, 2025

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis
10:02

FIM Imaging and FIMtrack: Two New Tools Allowing High-throughput and Cost Effective Locomotion Analysis

Published on: December 24, 2014

11.8K
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
Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K

科学领域:

  • 计算智能是一种计算智能.
  • 优化算法 优化算法
  • 机器学习 机器学习

背景情况:

  • 全球优化问题需要高效的算法来探索广的解决方案空间.
  • 标准的鱼优化算法 (WOA) 在平衡勘探和开发方面面临挑战.
  • 提高WOA的性能对于复杂的优化和功能选择任务至关重要.

研究的目的:

  • 为全球优化引入改进的鱼优化算法 (SWEWOA).
  • 使用增强的算法开发一种新的特征选择方法 (BSWEWOA-KELM).
  • 评估SWEWOA和BSWEWOA-KELM在基准数据集上的有效性.

主要方法:

  • 使用正弦映射策略 (SS) 进行人口初始化.
  • 整合逃逸能量 (EE) 以平衡勘探和开采.
  • 整合虫洞搜索 (WS) 以提高开发能力.
  • 开发一个二进制SWEWOA与内核极端学习机器 (KELM) 结合用于特征选择.

主要成果:

  • 在CEC 2017和2022测试集中,SWEWOA在26个比较算法上表现出卓越的性能.
  • 在16个不同的数据集中,BSWEWOA-KELM在特征选择方面超过了8个高性能算法.
  • 混合方法显著增强了优化和功能选择能力.

结论:

  • 拟议的SWEWOA有效地解决了全球优化挑战.
  • BSWEWOA-KELM为分类问题提供了一种优秀的特征选择方法.
  • 混合策略显著提高了鱼优化算法的性能.