Nonlinear Regression Analysis for Programming and Engineering Application

Qing Lan Qi; Shao Xiong Zhang

doi:10.4028/www.scientific.net/AMR.846-847.1080

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Nonlinear Regression Analysis for Programming and...

Nonlinear Regression Analysis for Programming and Engineering Application

Abstract:

Aiming at the calculating the flow of cutthroat flume in Hydraulic Engineering, the test data is processed through the nonlinear regression analysis program which is based on the principle of least square method. With 33 equations of various functions including linear, power function curve and exponential curve to be selected as the mathematical model, the regression analysis is taken through 33 equations. Comparing the regression coefficient from analysis, the optimal mathematical model is selected as the empirical formula, which has great significance in guiding the practical engineering.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1080-1083

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1080

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Online since:

November 2013

Authors:

Qing Lan Qi*, Shao Xiong Zhang

Keywords:

Discharge Coefficient, Mathematical Models, Regression Analysis, Test Data

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* - Corresponding Author

References

[1] Qi Qinglan. Hydraulics [M]. Beijing: China Railway Publishing House, Beijing, (2008).

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[2] Qi Qinglan, Kong Qiang, Ye Qingqing. Research on Hydraulic Characteristics of Cutthroat Flume in Irrigation District[J]. Applied Mechanics and Civil Engineering. 2012, 137: 227-231.

DOI: 10.4028/www.scientific.net/amm.137.227

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[3] Qi Qinglan, Yang Qingrui, Xue Yuntian. Hydrodynamic Load and Characteristics on the Solid Wall[M]. Beijing: China Building Materials Press, (2001).

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