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Updated: May 21, 2025

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预测膜生物反应器性能的机器学习算法:一篇综述

Marina Muniz de Queiroz1, Victor Rezende Moreira1, Míriam Cristina Santos Amaral1

  • 1Department of Sanitation and Environmental Engineering, School of Engineering, Federal University of Minas Gerais, 6627 Antônio Carlos Avenue, Campus Pampulha, Belo Horizonte, Minas Gerais, Brazil.

Journal of environmental management
|March 18, 2025
PubMed
概括

机器学习 (ML) 模型有效预测膜生物反应器 (MBR) 中的污染物清除和运行问题. 人工神经网络是最常见的,但探索其他ML算法可以进一步优化MBR性能.

关键词:
人工智能的人工智能是人工智能.机器学习是机器学习.膜生物反应器是一种膜生物反应器.污水处理 污水处理 污水处理

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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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