@inproceedings{5967ee9d6e30416c89e08b6f54d38dfa,
title = "Vehicle simulation and test system based on RBFNN and its improved algorithm",
abstract = "According to the characteristics of the vehicle simulation and test system, we set up the vehicle acceleration and engine speed model, and RBF neural network is applied in this model. Since ordinary RBF network has poor adaptability, NRBF and Classified-RBF is proposed in this paper. The simulation results show that both methods can fit the model well, and the output error actually decreases to about half. The adaptability of the RBF network is improved. These can be used in the data fusion of the vehicle simulation and test system.",
keywords = "NRBF, RBF neural network, simulation, vehicle test system",
author = "Yicheng Jiang and Sibo Sun",
year = "2012",
doi = "10.1109/CSIP.2012.6308972",
language = "英语",
isbn = "9781467314114",
series = "Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012",
pages = "790--794",
booktitle = "Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012",
note = "2012 International Conference on Computer Science and Information Processing, CSIP 2012 ; Conference date: 24-08-2012 Through 26-08-2012",
}