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相关概念视频

¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

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A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
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相关实验视频

Updated: Jul 18, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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改进的实证公式建模方法使用神经空间映射对结合的微条纹线路.

Shuxia Yan1,2, Fengqi Qian1, Chenglin Li1

  • 1School of Electronics and Information Engineering, Tiangong University, Tianjin 300387, China.

Micromachines
|August 26, 2023
PubMed
概括

这项研究引入了一种改进的实证公式,用于使用神经空间映射 (Neuro-SM) 建模合的微条线. 该方法提高了准确性,加快了优化速度,比当前的模拟软件提供了更好的兼容性.

关键词:
结合的微条带线路是相连的.绘制神经网络的地图.微波器件是微波器件中的一种.建模建模是什么意思优化的优化优化优化.

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科学领域:

  • 电气工程 电气工程
  • 计算电磁学 计算机电磁学
  • 微波工程 微波工程

背景情况:

  • 结合的微条线是高频电路中的基本组件.
  • 准确的建模对于设备性能和模拟效率至关重要.
  • 现有的实证模型往往涉及缓慢的试错过程.

研究的目的:

  • 为结合的微条纹线路提出一个改进的实证公式建模方法.
  • 通过绘制神经网络 (MNN) 提高模型准确性并减少可变依赖性.
  • 通过集成的灵敏度分析来加速优化过程.

主要方法:

  • 使用神经空间映射 (Neuro-SM) 进行实证公式建模.
  • 使用与几何和频率变量映射神经网络 (MNN).
  • 将简单的灵敏度分析表达式纳入培训过程.

主要成果:

  • 拟议的Neuro-SM模型准确地反映了合的微条形线条的性能.
  • 该模型与传统方法相比,在较少的变量中实现了高精度.
  • 集成的灵敏度分析显著加快了优化过程.

结论:

  • 开发的Neuro-SM模型为合微条线分析提供了准确和高效的方法.
  • 该模型与现有的模拟软件相比,显示出更高的兼容性.
  • 这种方法为高频电路设计和模拟提供了一个有希望的替代方案.