Title :
Entropy partition method and its application for discrete variables and continuous variables
Author :
Chen, Jing ; Xi, Guangcheng
Author_Institution :
Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing
Abstract :
Entropy partition method for complex system has been applied in many ldnds of fields. In this paper, we improve the calculation of correlative measure for both discrete variables and continuous variables, and apply this method in vascular endothelial dysfunction (ED) discrete data and neuro-endocrine-immune (NEI) continuous data respectively. The partition results show this entropy partition methodpsilas broad availability and obvious advantage in dealing with complex, multiple, nonlinear data.
Keywords :
data handling; large-scale systems; neural nets; complex system; continuous variables; discrete data; discrete variables; entropy partition method; neuro-endocrine-immune continuous data; vascular endothelial dysfunction; Application software; Entropy; Explosions; Inductors; Large-scale systems; Mathematics; Neural networks;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4633901
