DocumentCode
3496430
Title
Entropy Partition for Complex System and its Application in Neuro-Endocrine-Immune Data
Author
Chen, Jing ; Xi, Guangcheng ; Chen, Jianxin
Author_Institution
Chinese Acad. of Sci., Beijing
fYear
2008
fDate
6-8 April 2008
Firstpage
1471
Lastpage
1475
Abstract
Entropy partition method for complex system has been applied in many kinds of fields. In this paper, we improve the calculation of correlative measure for continuous variables, and apply this method in neuro-endocrine-immune data collected from 400 Wistar rats. The partition result shows the corresponding rules of 5 vascular endothelial function related parameters and 21 NEI network related parameters. It also shows this entropy partition method´s broad availability and obvious advantage in dealing with complex, multiple, nonlinear data.
Keywords
entropy; neurophysiology; NEI network related parameters; Wistar rats; complex system; continuous variables; correlative measure calculation; entropy partition; neuro-endocrine-immune data; vascular endothelial function; Control theory; Entropy; Feedback loop; Logic; Measurement uncertainty; Modems; Mutual information; Random variables; Rats; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-1685-1
Electronic_ISBN
978-1-4244-1686-8
Type
conf
DOI
10.1109/ICNSC.2008.4525452
Filename
4525452
Link To Document