基于机器学习分类器的指标可以评估分离系统的效率
Éva Kenyeres1, Alex Kummer1, János Abonyi1
1HUN-REN-PE Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, Egyetem u. 10, P.O. Box 158, H-8200 Veszprém, Hungary.
Entropy (Basel, Switzerland)
|July 26, 2024
概括
机器学习指标,如和信息获取,可以评估分离系统的效率. 这些在废物分类模型上验证的新型指标提供了一种评估运营绩效的新方法.
科学领域:
- 环境工程 环境工程
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 评估分离系统的传统方法往往缺乏精度.
- 机器学习指标被广泛用于分类器模型评估.
- 需要强大的指标来评估分离系统的效率.
研究的目的:
- 适应机器学习指标用于评估分离系统.
- 为此目的,开发新的基于和信息获取的指标.
- 通过模拟实验验证这些指标.
主要方法:
- 利用机器学习的和信息获取.
- 开发了基于这些概念的新指标,用于分离系统.
- 使用接收器操作特征 (ROC) 曲线来找到最佳切割点.
- 在一个随机废物分类系统模型上进行模拟实验.
主要成果:
- 证明了机器学习指标对分离系统的适用性.
- 验证了拟议的基于和信息获取的指标.
- 接收器运行特征 (ROC) 曲线有效地确定了最佳运行点.
- 模拟结果证实了这些指标在评估系统性能方面的实用性.
结论:
- 机器学习指标提供了一个强大的框架来评估分离系统的有效性.
- 开发的指标为优化分离过程提供了定量方法.
- 这项研究将机器学习和分离科学联系起来,以改善系统评估.
相关概念视频
Optimizing Chromatographic Separations
368
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
368
Overview Of Cell Separation And Isolation
5.6K
Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
5.6K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
47
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...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
47
Centrifugation
2.1K
Centrifugation is a separation technique based on differences in density or size. It is commonly used to separate solids from aqueous interferents. During centrifugation, the sample is placed in centrifugation tubes and spun at high angular velocity, which allows centrifugal force to act differentially on the different densities or masses of the components. After spinning, the supernatant liquid is decanted. Depending on the specific application, either the pellet or the supernatant is retained...
2.1K
Capillary Electrophoresis: Applications
370
Capillary electrophoretic separations offer various modes, each with unique applications. These modes include capillary zone electrophoresis, capillary gel electrophoresis, capillary array electrophoresis, capillary isoelectric focusing, capillary isotachophoresis, micellar electrokinetic chromatography, and capillary electrochromatography.
Capillary zone electrophoresis (CZE) separates ionic components based on their electrophoretic mobility. It has been used to separate proteins, amino acids,...
Capillary zone electrophoresis (CZE) separates ionic components based on their electrophoretic mobility. It has been used to separate proteins, amino acids,...
370


