Chaotic time series analysis approach for prediction blood glucose concentration based on echo state networks

2018 ◽  
Author(s):  
Ning Li ◽  
Jianyong Tuo ◽  
Youqing Wang
Keyword(s):  
Time Series ◽  
Blood Glucose ◽  
Time Series Analysis ◽  
Glucose Concentration ◽  
Blood Glucose Concentration ◽  
Chaotic Time Series ◽  
Analysis Approach ◽  
Series Analysis ◽  
Echo State Networks ◽  
Chaotic Time Series Analysis

Research on Ship Swaying Motion Prediction Based on Multi-Variable Chaotic Time Series Analysis

2013 ◽  
Vol 712-715 ◽  
pp. 1550-1554
Author(s):  
Xin Dong Yang ◽  
Zuo Chao Wang ◽  
Ai Guo Shi ◽  
Bo Liu ◽  
Li Li
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Chaotic Time Series ◽  
Ship Motion ◽  
Ship Motions ◽  
Sea State ◽  
Time Prediction ◽  
Series Analysis ◽  
Short Time ◽  
Chaotic Time Series Analysis

Wind and waves have particularly significant influence upon exertion of naval vessels battle effectiveness. It is urgently necessary to improve the ability of the Navy to carry out combat service in severe sea state normally. This paper aims to obtain the accurate prediction of ship motions with second level predictable time in real waves. According to the characteristics of the ship motion, the research on extremely short-time prediction of ship motion has been carried out based on multi-variable chaotic time series analysis, and the effectiveness of the prediction of ship motion in real wave is highly improved.

scholarly journals Novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks

Critical Care ◽  
2009 ◽  
Vol 13 (Suppl 1) ◽  
pp. P256
Author(s):  
T Verplancke ◽  
S Van Looy ◽  
K Steurbaut ◽  
D Benoit ◽  
F De Turck ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Analysis Approach ◽  
Series Analysis ◽  
Echo State Networks
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