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《Journal of Chengdu University of Technology(Science & Technology Edition)》 2004-01
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Discussion on methods of curve fitting in experimental data processing

QIAO Li-shan~1, WANG Yu-lan~1, ZENG Jin-guang~2 (1.Department of Information and Computing Science, Chengdu University of Technology, China; 2. Department of Information Management, Ningbo University, Ningbo, China)  
Curve fitting is one of the basic methods in experimental data processing. In this paper, the methods of curve fitting are classified by existence of theoretic model. According to the above (classification), the paper discusses the general and important methods of curve fitting. Then it compares the two species of method and addresses a new method based on neural networks and least square. Finally, the new method is used for curve fitting of rheologic modelvelocity-differential constitutive relations.
【Fund】: 国家973项目(G1999022511)
【CateGory Index】: TP391.41
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