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Your search keyword '"Jiang Zhao"' showing total 24 results
Start Over Author "Jiang Zhao" Publication Type Books
24 results on '"Jiang Zhao"'

23. Kinematic Modeling of Bevel Tip Flexible Needle.

Author

Yong-de, Zhang and Yan-jiang, Zhao

Abstract

Aiming at the kinematic modeling of bevel tip flexible needle, this paper proposes the deflection unicycle model (DUM) for the nonholonomic system of the needle. Based on this, according to the actual path and the error analysis, a novel deflection unicycle model with rebound (DUMR) is proposed, which more accords with the facts. Kinematics is simplified and forward kinematics is calculated using screw theory and product of exponentials formula. The least square method is adopted to fit the experimental data and the parameters of the model are gained. Results show that the model with rebound is much superior to the model without rebound. What΄s more, the maximum error, the number of large errors and the root mean square relative to the model are little enough to fit the actual path well. [ABSTRACT FROM AUTHOR]

Published
2010
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24. Prediction of Railway Passenger Traffic Volume by means of LS-SVM.

Author

Wang, Jun, Yi, Zhang, Zurada, Jacek M., Lu, Bao-Liang, Yin, Hujun, Peng, Zhen-Rui, Wu, Fu, and Jiang, Zhao-Yuan

Abstract

Based on Least Squares Support Vector Machine (LS-SVM), a method for the prediction of railway passenger traffic volume is proposed. The railway passenger traffic volume from 1985 to 2002, provided by National Bureau of Statistics of China, is employed as total data set. The normalized passenger volume from 1985 to1999 is used as training data set to establish LS-SVM model, while the normalized volume from 1999 to 2002 is utilized as testing data set to carry out prediction. LS-SVM is applied to establish prediction model. The prediction results by LS-SVM model are compared with those by BP neural network method. The results show that LS-SVM outperforms BP neural network in the prediction of railway passenger traffic volume. [ABSTRACT FROM AUTHOR]

Published
2006
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