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Updated: Jun 15, 2025

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
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预测和优化废水处理过程废水的化学氧气需求和能源消耗,基于典型的集体学习模型

Jian Chen1, Jinquan Wan1, Gang Ye2

  • 1College of Environment and Energy, South China University of Technology, Guangzhou 510006, China.

Bioresource technology
|August 28, 2024
PubMed
概括

这项研究通过使用机器学习来预测和优化废水化学氧气需求 (COD) 和总能耗 (TEC) 来提高废水处理,从而实现显著的减少.

关键词:
数据放大数据放大预测能源消耗的预测多目标优化多目标优化预测水质水质预测

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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...
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