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

Biological Treatment of Effluent and Waste Water01:30

Biological Treatment of Effluent and Waste Water

Biological wastewater treatment relies on the metabolic activity of microorganisms to remove pollutants from sewage. In modern treatment systems, this process is organized into sequential stages that progressively reduce solid material, dissolved organic matter, and microbial contamination. Each stage plays a distinct role in improving water quality and preparing the effluent for safe discharge or reuse.Primary and Secondary TreatmentPrimary treatment is a physical process that removes large...

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 journal

Enhanced rapid acclimation of nitrifying sludge to sulfamethoxazole stress via exogenous quorum-sensing signal molecules.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Review on magnetic chitosan nanomaterials as sustainable adsorbents for water pollution control.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Development and application of a hydraulic performance evaluation method for denitrification reactors.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

A methodological review of AI/ML and evolutionary computation in hydrology and hydraulics: from ANN/SVM to deep learning, symbolic regression, and physics-informed models.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Sustainable triphasic macrophyte-substrate-microbial synergies in constructed wetlands for textile wastewater treatment.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Application of flood hazard assessment for decision-making in the White Volta Basin, Ghana.

Water science and technology : a journal of the International Association on Water Pollution Research·2026

相关实验视频

Updated: Jul 12, 2026

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

基于改进的吸血漏液优化算法优化深度信念网络,用于废水质量预测.

Yanping Yao1, Xianjun Du2

  • 1College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China.

Water science and technology : a journal of the International Association on Water Pollution Research
|August 14, 2025
PubMed
概括

改进的吸血漏液优化器 (IBSLO) 算法增强了探索,并防止过早的融合. 这种新的优化技术在基准测试和废水质量预测中显示出卓越的性能.

关键词:
吸血的吸血虫优化器 吸血虫优化器DBN DBN DBN DBN DBN DBN DBN DBN DBN DBN DBN DBN DBN DBN DBN基准测试功能是一个基准.动态感知信号的动态感知信号.记忆共享机制 记忆共享机制不线性感知距离是非线性的.

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.7K

相关实验视频

Last Updated: Jul 12, 2026

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
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.7K

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:

  • 吸血漏液优化器 (BSLO) 算法面临的挑战是有限的探索和过早的融合.
  • 有效的优化对于各种科学领域的复杂问题解决至关重要.

研究的目的:

  • 引入一个改进的吸血漏液优化器 (IBSLO) 算法,以克服原始BSLO的局限性.
  • 增强算法的开发和探索能力,以实现更准确和更有效的优化.
  • 验证IBSLO算法在基准函数和实际水质预测任务上的性能.

主要方法:

  • 开发了一种使用反向S形非线性感知距离的定向吸血管切换机制.
  • 整合了一个动态感知信号来指导搜索和优化过程.
  • 集成了一个内存共享机制,以提高搜索效率并确保全球最佳解决方案.

主要成果:

  • IBSLO算法在23个基准函数和CEC-2017测试集上表现出卓越的性能.
  • 收分析证实了算法的增强功能.
  • 与其他优化策略相比,IBSLO-Deep Belief Network模型在预测关键水质参数方面取得了卓越的准确性.

结论:

  • 拟议的IBSLO算法有效地解决了BSLO的局限性,提供了改进的勘探和融合特性.
  • IBSLO显示出在复杂的优化问题中应用的巨大潜力,包括环境监测和预测建模.
  • 增强优化方法为准确预测废水处理中的水质参数提供了强大的解决方案.