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基于人工神经网络的两个板之间的毛细体力和接触直径的预测模型

Congcong Huang1, Zenghua Fan1,2, Ming Fan1

  • 1School of Mechanical Engineering, Shandong University of Technology, Zibo 255049, China.

Micromachines
|July 8, 2023
PubMed
概括

一个基因算法优化的人工神经网络 (GA-ANN) 准确地预测了毛细血管力和液体桥接触直径. 这种模型增强了对微观物体操纵和粒子湿现象的理解.

关键词:
人工神经网络的人工神经网络毛细管的力量是毛细管的力量.尽量减少能源的使用.遗传算法是一种遗传算法.液体桥梁是一种液体桥梁.

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