Fitting Algorithm of Parameterized Continued Fractions with Keeping Endpoints and Its Application
In order to overcome fitting uncertainty, A nonlinear rational parameterized fitting algorithm with keeping endpoints was presented through inverse difference-continued fraction algorithm, the algorithm has property of keeping endpoints, parameterization of middle data points selected.The parameters obtained through minimum error function make fitting functions have much flexibility.Experimental results illustrate that the proposed algorithm may reduce degree of continued fraction interpolation function, numbers of iteration and avoiding non-existence on interpolation function of the continued fraction.The fitting values obtained are more accuracy, the computing efficiency is much more improved,the fitting errors are more stable, approximate effect is better, and the algorithm will be widely used in predict etc.
inverse difference-continued fraction keeping endpoints nonlinear fitting function parameterization
Tangsen Zhan Wei Zhao
School of Information Engineering,Jingdezhen Ceramic Institute,Jingdezhen Jiangxi China
国际会议
the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))
桂林
英文
343-346
2012-08-01(万方平台首次上网日期,不代表论文的发表时间)