Lossless data compression scheme based on neural network and SVM
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 | |
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 |