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
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;
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
DOI :
10.1109/ICNSC.2008.4525452
