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Updated: Jul 6, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
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静态智能计算解决器用于SIR动态原型流行病模型,使用医院病床的影响

Manoj Gupta1, Achyuth Sarkar1

  • 1Department of Computer Science and Engineering, National Institute of Technology Arunachal Pradesh, Jote, Arunachal Pradesh, India.

Computer methods in biomechanics and biomedical engineering
|January 3, 2024
PubMed
概括

这项研究引入了一种新型的人工神经网络 (ANN) 和缩放联梯度 (SCG) 解析器,用于模拟SIR流行病模型,并纳入医院床的影响. 该ANNs-SCG方法有效地模拟疾病动态,并减少平均平方误差可靠的预测.

关键词:
缩放的并联梯度梯度的比例.人工神经网络的人工神经网络动态SIR原型模型医院病床的影响.数字解决方案的数值解决方案

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