DocumentCode
3230305
Title
A perception algorithm for discerning non-linearity
Author
Guo-liang, Li ; Xin-xia, Wang ; Chang-An, Wu
Author_Institution
Center of Network Inf., Xinyang Normal Univ., Xinyang, China
fYear
2010
fDate
23-26 Sept. 2010
Firstpage
783
Lastpage
786
Abstract
This paper puts forward a new improved perception algorithm based on solution region by analyzing the pattern´s solution geometric characteristic in space. The algorithm could find a better solution vector in solution region on condition that the pattern´s linearity is separable. Otherwise, it indicates the linearity isn´t separable. That is, it can discern that the solution region doesn´t exist. Consequently, this algorithm can discern quickly whether the pattern´s linearity is separable in its solution region and solve its convergence effectively, and finally enhance the speed of calculation.
Keywords
geometry; pattern recognition; geometric characteristic; pattern linearity; perception algorithm; solution region; Educational institutions; convergence; pattern; the perception algorithm; the solution region;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-6437-1
Type
conf
DOI
10.1109/BICTA.2010.5645224
Filename
5645224
Link To Document