Title :
Research on Modeling for Hydraulic Retarder Internal Pressure Based on Artificial Neural Network
Author :
Yan, Jun ; Guo, Xuexun
Author_Institution :
Sch. of Automotive Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
This paper discusses the method of modeling for hydraulic retarder internal pressure and determines a method based on artificial neural network (ANN). For modeling based on ANN, the detailed settings and key points are expatiated. Through data extrapolating and comparison with test data, the rationality of ANN internal pressure model is proved.
Keywords :
hydraulic systems; neural nets; pressure control; ANN; Matlab statistics toolbox; artificial neural network; hydraulic retarder internal pressure; Artificial neural networks; Automotive engineering; Impellers; Mathematical model; Neurofeedback; Paper technology; Petroleum; Testing; Torque control; Vehicles; Artificial Neuarl Network; hydraulic retarder; internal pressure; modeling;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.658
