Bidirectional long short-term memory attention neural network to estimate neural mass model parameters

被引：0
|
作者：
Zhang, Hao [1 ,2 ]
Yang, Changqing [1 ,2 ]
Xu, Jingping [3 ]
Yuan, Guanli [3 ]
Li, Xiaoli [4 ,5 ]
Gu, Guanghua [1 ,2 ]
Cui, Dong [1 ,2 ]
机构：
[1] Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao,066004, China
[2] School of Information Science and Engineering, Yan Shan University, Qinhuangdao,066004, China
[3] The General Medicine Department, the First Hospital of Qinhuangdao, Qinhuangdao,066000, China
[4] Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Guangzhou,510335, China
[5] School of Automation Science and Engineering, South China University of Technology, Guangzhou,510641, China
来源：
Chaos, Solitons and Fractals | 1600年
关键词：
Number:; 62173291; Acronym:; NSFC; Sponsor: National Natural Science Foundation of China; F2024203049; -; Sponsor: Natural Science Foundation of Hebei Province;
D O I：
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中图分类号：
学科分类号：
摘要：
Kalman filters
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