Simulation Analysis of Automobile ABS based on Artificial Neural Network

DOI

10.2991/msmee-17.2017.331How to use a DOI?

Keywords

ANN; ABS; the relative slip ratio

Abstract

An Artificial Neural Network (ANN) was developed to analyze the automobile Anti-locking Brake System (ABS) simulation model. The linear velocity of wheel and the angular velocity could be obtained through some applications, through them we could calculate the relative slip ratio, the relative slip ratio and the braking time were input variables, the braking press and the braking distance were output. The data used to train and verify the ANN were obtained from simulation models. Trained ANN can be used to predict output.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Banglu Chen
PY  - 2017/05
DA  - 2017/05
TI  - Simulation Analysis of Automobile ABS based on Artificial Neural Network
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1812
EP  - 1817
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.331
DO  - 10.2991/msmee-17.2017.331
ID  - Chen2017/05
ER  -