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Updated: Jan 9, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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模拟混乱的糖尿病系统,使用完全循环的神经网络,增强分数顺序学习

Esraa Mostafa1, Tarek A Mahmoud2, Mohamed A El-Brawany2

  • 1Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt. esraa.mostafa@el-eng.menofia.edu.eg.

Scientific reports
|December 4, 2025
PubMed
概括

这项研究介绍了一种新的全循环神经网络 (FRNN),用于模拟混乱的糖尿病系统. 增强的FRNN-FO模型在模拟葡萄糖-胰岛素动态方面表现出卓越的准确性和稳定性.

关键词:
混乱的系统 混乱的系统糖尿病建模的模型.分数顺序的学习是分数顺序的.完全经常性的神经网络.

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