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使用前神经网络的代位置估计算法的起点的选择

Jaroslaw Sadowski1, Jacek Stefanski1

  • 1Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
概括

这项研究表明,简单的前神经网络 (FNN) 可以确保代位置估计算法始终趋同. 具有单个隐藏层的最小FNN足以进行有效的位置估计.

关键词:
推进神经网络的前进料代算法是一种代算法.位置估计位置估计.无线电局部化的定位.

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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.
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