颂歌
常微分方程
计算机科学
人工神经网络
循环神经网络
随机森林
方案(数学)
人工智能
树(集合论)
过程(计算)
有界函数
常量(计算机编程)
机器学习
微分方程
算法
数学
应用数学
数学分析
程序设计语言
操作系统
作者
Ho Dac Quan,Huynh Duc Khai,Hieu Trung Huynh
标识
DOI:10.1016/j.asoc.2022.109627
摘要
We describe a novel approach for quality assessment of hand hygiene process based on combination of ordinary differential equation (ODE) neural network and random forest. The continuous-time recurrent neural network (RNN) with ODE hidden nodes is utilized. Unlike traditional continuous-time RNNs, the ODE network in this scheme applies an input-dependent varying time-constant models referred as liquid time-constant (LTC) RNN. It expresses stable and bounded behavior and yields superior expressivity. The random forest is attractive for findings of multiple trees in classification. It is built from multiple LTC networks, each network is corresponding to each tree. The experimental results showed that the proposed approach attains the recognition accuracy of 98.9% for single handwashing step and 78% for the whole handwashing process.
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