DocumentCode :
2630699
Title :
Varying-step Correlation Analysis Identification Algorithm Based on the Modified Fibonacci Sequence
Author :
Jie, Chen
Author_Institution :
Anhui Inst. of Archit. & Ind., Hefei, China
Volume :
3
fYear :
2011
fDate :
6-7 Jan. 2011
Firstpage :
1105
Lastpage :
1108
Abstract :
The identification algorithm of correlation analysis is understood easily. But the calculation amount is very large. The optimizing space was selected appropriately. Then the Fibonacci sequence was introduced into the algorithm. Variable step based on modified Fibonacci sequence was used to optimize the model parameters. The result of simulation indicates that the calculation amount is decreased and the Convergent speed of optimizing is improvement.
Keywords :
Fibonacci sequences; identification; optimisation; modified Fibonacci sequence; optimization convergent speed; varying step correlation analysis identification algorithm; Algorithm design and analysis; Computational modeling; Computers; Correlation; Optimization; Parameter estimation; Polynomials; Correlation-identification; Modified Fibonacci sequence; Parameter Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
Type :
conf
DOI :
10.1109/ICMTMA.2011.845
Filename :
5721682
Link To Document :
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