DocumentCode
2168348
Title
Immunity clone strategy based ICA
Author
Liu, Fang ; Jia, Fan
Author_Institution
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
fYear
2003
fDate
27-30 Sept. 2003
Firstpage
296
Lastpage
301
Abstract
In this paper, immunity clone algorithm is introduced to the learning of separating matrix in independent component analysis (ICA). For no restriction on the derivative of objective function, we can derive the matrix without help of traditional gradient descend algorithms. An objective function with a smaller error to approximate the negentropy is adopted. This algorithm has the advantages of simpleness, stable and global convergence, and is verified with computer simulation.
Keywords
convergence; independent component analysis; matrix algebra; ICA; computer simulation; global convergence; immunity clone; independent component analysis; learning; matrix separation; negentropy; objective function; Cloning; Computational intelligence; Independent component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN
0-7695-1957-1
Type
conf
DOI
10.1109/ICCIMA.2003.1238141
Filename
1238141
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