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

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

245
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
245

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

Comparing isotherm parameter determination methods for hydrophobic interaction chromatography.

Journal of chromatography. A·2026
Same author

Wastewater metaproteomics: tracking microbial and human protein biomarkers.

ISME communications·2026
Same author

A Review on Quantitative Process Analytical Technology for Continuous Downstream Processing of Monoclonal Antibodies.

Biotechnology and bioengineering·2025
Same author

Identification of a distinct sialic acid (KDN) and a KDN-specific aldolase in Pacific oyster.

Glycoconjugate journal·2025
Same author

A Special Issue of Mass Spectrometry Reviews to Honor Professor Renato Zenobi: A Lifetime of Mentorship and Innovation in Mass Spectrometry.

Mass spectrometry reviews·2025
Same author

Towards Rapid Calibration of Bioprocess Quantification Models Using Single Compound Raman Spectra: A Comparison of Four Approaches.

Biotechnology and bioengineering·2025
Same journal

Microbial Hydrolysates as Amino Acid Source in Cell Culture Media for Cellular Agriculture.

Biotechnology and bioengineering·2026
Same journal

LLM-Guided Parameter Optimization for Mechanistic CHO Cell Bioreactor Models.

Biotechnology and bioengineering·2026
Same journal

Three-Dimensional-Printed Polylactic Acid Scaffolds Coated With a Paeonol-Incorporated Gelatin/Bioactive Glass Composite Layer for Enhanced Osteogenic Performance.

Biotechnology and bioengineering·2026
Same journal

Recent Progress in Antimicrobial Peptides (AMPs) Towards Enhanced Selectivity and Reduced Cytotoxicity by Molecular Engineering.

Biotechnology and bioengineering·2026
Same journal

mZVI-Enhanced Mixed Nitrogen Removal in Klebsiella oxytoca via Coordinated Electron Transfer and Metabolic Reprogramming.

Biotechnology and bioengineering·2026
Same journal

Growth Model for Continuous Culture of a Hydrogen-Oxidizing Bacterium, Hydrogenophilus thermoluteolus Strain TH-1.

Biotechnology and bioengineering·2026
查看所有相关文章

相关实验视频

Updated: Jul 28, 2025

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
09:28

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

8.5K

使用人工神经网络来加快流表优化,用于下游流程开发过程.

Daphne Keulen1, Erik van der Hagen1, Geoffroy Geldhof2

  • 1Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.

Biotechnology and bioengineering
|May 31, 2023
PubMed
概括
此摘要是机器生成的。

人工神经网络 (ANN) 通过减少评估的净化选项数量来加速生物制药净化过程设计. 这种方法大大减少了50%的整体优化时间,确保了安全性和经济效益.

关键词:
人工神经网络的人工神经网络染色体学 染色体学 染色体学下游流程开发过程的发展.流表优化流程表的优化机械模型模型机械模型基于模型的流程优化过程优化

更多相关视频

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.2K
Automated Counterflow Centrifugal System for Small-Scale Cell Processing
04:49

Automated Counterflow Centrifugal System for Small-Scale Cell Processing

Published on: December 12, 2019

9.3K

相关实验视频

Last Updated: Jul 28, 2025

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
09:28

Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation

Published on: May 18, 2020

8.5K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.2K
Automated Counterflow Centrifugal System for Small-Scale Cell Processing
04:49

Automated Counterflow Centrifugal System for Small-Scale Cell Processing

Published on: December 12, 2019

9.3K

科学领域:

  • 生物制药净化 生物制药净化
  • 过程优化 过程优化
  • 计算建模计算建模

背景情况:

  • 最佳的净化过程对于生物制药的安全性和经济性至关重要.
  • 选设计空间是全球优化所必需的.
  • 染色学机械模型 (MM) 可以是耗时的流表优化.

研究的目的:

  • 为了加速生物制药净化过程的早期设计.
  • 为了减少流表优化计算时间.
  • 将人工神经网络 (ANN) 整合到全球优化策略中.

主要方法:

  • 利用人工神经网络 (ANN) 为净化流程方案的全球优化.
  • 减少候选流程表的数量,以进行随后的本地优化.
  • 将ANN引导优化与传统机械模型 (MM) 的比较.

主要成果:

  • ANN将最终优化流程表的数量从15个减少到3个.
  • 从ANN或MM的全球结果开始的本地优化产生了类似的结果.
  • 使用ANN,整体流表优化时间减少了50%.

结论:

  • ANN有效地加速了早期的净化工艺设计.
  • 提出的方法是通用的,灵活的,独立于材料.
  • 整合ANN可以在生物制药工艺开发中大大节省时间.