Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Simulation Analysis of Automobile ABS based on Artificial Neural Network

Authors
Banglu Chen
Corresponding Author
Banglu Chen
Available Online May 2017.
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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Volume Title
Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.331How to use a DOI?
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/).

Cite this article

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  -