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Updated: Jun 2, 2025

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使用神经网络,基因表达编程和多目标粒子群优化优化三元混合纳米流体:一个计算智能战略.

Tao Hai1,2,3,4, Ali Basem5, As'ad Alizadeh6

  • 1State Key Laboratory of Public Big Data, Guizhou University, Guizhou Guiyang, 550025, China.

Scientific reports
|January 15, 2025
PubMed
概括

这项研究利用计算智能优化了三元混合纳米流体,以提高导热率和降低粘度. 混合方法有效地建模并确定改善纳米流体性能的最佳条件.

关键词:
计算智能是一种计算智能.机器学习是机器学习.采用多个标准的决策.多目标优化多目标优化三元混合的纳米流体.热物理性质热物理性质

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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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