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Updated: May 15, 2025

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用反向传播人工神经网络算法对合金进行定量分析方法的研究,基于LIBS技术

Li Wang1, Li Xu2, Li Li3

  • 1Mathematics and Physics College, Bengbu University, Bengbu 233030, China.

The journal of physical chemistry. A
|April 11, 2025
PubMed
概括

本研究介绍了一种使用激光诱导分解光谱 (LIBS) 和反向传播人工神经网络 (BP-ANN) 的定量模型,用于5052个合金中的快速元素分析. 开发的方法准确地确定了元素度,提高了合金的质量控制.

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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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