Lossless data compression scheme based on neural network and SVM


Autoria(s): Hujin (Hujin); Yang, GW (Yang, Guowei); Wang, SJ (Wang, Shoujue); Gao, XH (Gao, Xuhui)
Data(s)

2006

Resumo

First, the compression-awaited data are regarded Lis character strings which are produced by virtual information source mapping M. then the model of the virtual information source M is established by neural network and SVM. Last we construct a lossless data compression (coding) scheme based oil neural network and SVM with the model, an integer function and a SVM discriminant. The scheme differs from the old entropy coding (compressions) inwardly, and it can compress some data compressed by the old entropy coding.

Identificador

http://ir.semi.ac.cn/handle/172111/9704

http://www.irgrid.ac.cn/handle/1471x/64264

Idioma(s)

英语

Fonte

Hujin (Hujin); Yang, GW (Yang, Guowei); Wang, SJ (Wang, Shoujue); Gao, XH (Gao, Xuhui) .Lossless data compression scheme based on neural network and SVM ,DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS,DEC 2006 ,13 Part 2 Suppl.S (0):638-641

Palavras-Chave #人工智能
Tipo

期刊论文