DocumentCode :
1806381
Title :
A new mathematical modeling method based on space geometry theory
Author :
Yaowu, Ji
Author_Institution :
Xi´´an Railway Vocational & Tech. Inst., Xi´´an, China
Volume :
4
fYear :
2011
fDate :
24-26 Dec. 2011
Firstpage :
2486
Lastpage :
2489
Abstract :
Regression analysis is a kind of mathematical modeling approach to find the relation which hidden in variables through experiment and observation. This method can describe a perfect relation in many problems usually. But the amount of computation is high because we must use a complexity mathematical expression when wanted to get a satisfying result. This paper analyzes mathematical behavior of linear regression in high dimensional space, and finds the relation between variables and their functions with dependent variables in measurement space. Experiment proved the approach is well-defined, low computation complexity and effective.
Keywords :
geometry; regression analysis; complexity mathematical expression; dependent variables; linear regression analysis; mathematical behavior; mathematical modeling method; measurement space; space geometry theory; Indexes; Radio access networks; high dimensional space geometry; linear regression; mathematical modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182474
Filename :
6182474
Link To Document :
بازگشت