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相关概念视频

Calibration Curves: Linear Least Squares01:20

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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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相关实验视频

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扫描微镜校准方法基于PSO-LSSVM算法预测

Yan Liu1, Xiang Cheng2, Tingting Zhang2

  • 1School of Ocean Information Engineering, Jimei University, Xiamen 361021, China.

Micromachines
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

使用扫描微镜进行准确的测量至关重要. 这项研究引入了一种新的校准方法,使用粒子群优化-最小正方形支向量机 (PSO-LSSVM) 来预测微镜倾斜角度,实现高精度.

关键词:
莫姆斯 (MOEMS) 是一个词.这是一个PSO-LSSVM.一个光电探测器.扫描微镜扫描镜子

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科学领域:

  • 微光电机械系统 (MOEMS) 是一种微光电机械系统.
  • 精密工程是指精密的工程.
  • 光学计量学是指光学计量学.

背景情况:

  • 扫描微镜在MOEMS中至关重要,但易受环境和制造错误的影响,影响测量准确性.
  • 扫描微镜及其相关测量系统的校准对于可靠的性能至关重要.
  • 现有的校准方法可能无法完全解决对微镜偏移的复杂影响.

研究的目的:

  • 开发和介绍一种用于扫描微镜的新校准方法.
  • 为了确定实际的微镜偏斜角度和测量系统输出之间的精确对应.
  • 为了能够准确地预测微镜倾斜角度,改进了MOEMS应用程序.

主要方法:

  • 实现一个粒子群集优化-最小正方形支持向量机 (PSO-LSSVM) 回归模型.
  • 使用PSO-LSSVM根据测量系统输出来预测倾斜角度.
  • 在实际的偏斜角度和测量输出之间建立一个预测关系.

主要成果:

  • 开发的PSO-LSSVM模型成功预测了微镜倾斜角度.
  • 在x轴上的模型实现了0.9947的高决策因子 (R2).
  • 证明了拟议的校准方法在提高测量精度方面的有效性.

结论:

  • 基于PSO-LSSVM的校准方法为提高扫描微镜精度提供了强大的解决方案.
  • 这种方法有效地减轻了由制造和环境因素引起的错误.
  • 高的R2值表明这种方法在实际的MOEMS应用中具有显著的潜力.