Title :
Application research on the model identification with neural networks
Author :
Feng, Wu Jun ; Ben, Chen Shan
Author_Institution :
Harbin Inst. of Technol., China
Abstract :
A method to identify the efficiency factor of the automobile motor is described based on the principle of neural networks. It is supposed that this factor depends on the angle velocity of the motor axis and the pressure in the collector. The data measured is divided into two groups, one is used for the identification, the other for the validation determining the capacity predictive of this model. By comparing the two models built up with a common method and neural networks, it is possible to conclude that the latter is effective and the result is good
Keywords :
automobiles; internal combustion engines; mechanical engineering computing; parameter estimation; radial basis function networks; angle velocity; automobile; collector pressure; efficiency factor identification; identification; model identification; motor axis; neural networks; radial basis function networks; validation; Artificial neural networks; Automobiles; Brain modeling; Control system synthesis; Costs; Neural networks; Neurofeedback; Nonlinear control systems; Predictive models; Radial basis function networks;
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
DOI :
10.1109/IVEC.1999.830693
