DocumentCode :
2020470
Title :
The optimization for sequences relational analysis
Author :
Chang, Bao Rong
Author_Institution :
Dept. of Electr. Eng., Cheng Shiu Inst. of Technol., Kaohsiung, Taiwan
Volume :
5
fYear :
2001
fDate :
2001
Firstpage :
3146
Abstract :
A type of relational measure called the optimal relational grade is introduced. This grade is used to measure or analyze the nonlinear relation between sequences. In effect, this optimal relational grade consists of two aspect measures: an approximation measure and a similarity measure for sequences, and hence can be viewed as a synthesis measure for distinguishing what is the strength of the nonlinear relation between sequences. The maximum entropy method is applied to the linear combination of approximation and similarity results in this optimal relational grade. Finally, the verification of this measurement is asserted through means of examining two examples
Keywords :
maximum entropy methods; optimisation; sequences; statistical analysis; approximation measure; maximum entropy method; nonlinear relation; optimal relational grade; relational analysis; similarity measure; synthesis measure; Distance measurement; Electric variables measurement; Entropy; Equations; Extraterrestrial measurements; Linear approximation; Sampling methods; Shape measurement; Statistical analysis; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
ISSN :
1062-922X
Print_ISBN :
0-7803-7087-2
Type :
conf
DOI :
10.1109/ICSMC.2001.972002
Filename :
972002
Link To Document :
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