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Updated: Jun 29, 2025

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机器学习的光子设备的随机和多目标设计

Paolo Manfredi1, Abi Waqas2,3, Daniele Melati4

  • 1Department of Electronics and Telecommunications, Politecnico di Torino, 10129, Turin, Italy.

Scientific reports
|March 27, 2024
PubMed
概括

这项研究引入了一种设计光子设备的新方法,该方法可以考虑制造变化. 它通过模拟不确定性来帮助识别强大的设计,提高性能和可靠性.

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相关概念视频

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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