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Updated: May 14, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

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对于结构化电网发电的神经网络

Bari Khairullin1, Sergey Rykovanov2, Rishat Zagidullin2

  • 1Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, bld. 1, Skolkovo, Russia. bari.khairullin@skoltech.ru.

Scientific reports
|April 11, 2025
PubMed
概括

这项研究引入了一种新的神经网络 (NN) 方法,用于生成适合身体的曲线坐标系统 (BFC). 这种方法简化了复杂几何形状的数值解决方案,通过在正规网格上进行计算.

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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