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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

81
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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相关实验视频

Updated: Jul 20, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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使用差异进化灵感的终端火线性天线阵列合成 适应性裸鼠算法

Harbinder Singh1, Nitin Mittal2, Amit Gupta3

  • 1Department of Electronics and Communication Engineering, UCRD, Chandigarh University, Punjab, India.

Scientific reports
|July 29, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种适应性裸鼠算法 (ANMRA),用于设计线性天线阵列 (LAA). 对于先进的智能通信系统,ANMRA有效地减少了二次叶片,并缩小了光束宽度.

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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
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相关实验视频

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科学领域:

  • 电磁学和天线理论
  • 计算智能和优化计算智能和优化
  • 无线通信系统无线通信系统

背景情况:

  • 线性天线阵列 (LAA) 对于物联网和光束成型等智能系统至关重要.
  • 在LAA中,尽量减少二次叶片,同时保持狭窄的光束宽度,这带来了重大挑战.

研究的目的:

  • 通过使用一种新的优化算法,为LAA展示一种增强的合成方法.
  • 提高LAA的性能,以减少二级叶片和优化光束宽度.

主要方法:

  • 开发了一种适应性裸鼠算法 (ANMRA),灵感来自鼠行为,用于LAA合成.
  • 使用CEC 2019基准函数评估ANMRA性能,并将其与最先进的算法 (SSA,CS,AHOA,CHOA,NMRA) 进行比较.
  • 优化了天线元件的大小和位置,以精确控制辐射模式.

主要成果:

  • 安姆拉实现了卓越的性能,显示了显著的二级叶片减少和狭窄的光束宽度.
  • 在ANMRA设计的LAA实现侧叶水平 (SLL) -37.08dB和光束宽度74.68°.
  • 统计评估证实了ANMRA在优化LAA参数方面的有效性.

结论:

  • 安姆拉为LAA合成提供了一种有效的方法,其性能优于现有的方法.
  • 该方法使得精确的初级叶片放置,格子叶片消除和高定向性成为可能.
  • 这项研究推动了智能通信技术的发展,特别是在物联网和光束成形应用中.