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The research of curve fitting method based on genetic algorithm

ZHOU Ming-zheng (Dept. of Comp. Sci. & Engn., Anhui Institute of Mechanical & Electrical Engineering, Wuhu 241000, China)  
There is no rigorous function relation between two correlative parameters in natural science. On the basis of the least Squar method, the fitting equation and its optimal cooficient can be defined. However, for rather complex nonlinear problems, this may not work. According to the principle of curve fitting algorithm and the specific property of genetic algorithm (GA), six steps of curve fitting witb GA are presented. A case of capcitive humidity sensor is the application of GA. The results show that the humidity error between corresponding points are less than 0. 09% for the fitting equation compared with testing data. The fitting process only uses values of objective function convenietly so that applied area of GA curve fitting is greatly.
【Fund】: 安徽省教育厅自然科学基金资助项目!(98JL035)
【CateGory Index】: TP212
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