Reasarch of Architecture based BP Neural Network in Modeling of Sheave Buffer

DOI

10.2991/wartia-16.2016.112How to use a DOI?

Keywords

Neural network, sheave buffer, modeling, hydraulic system.

Abstract

In order to solve the problem of non-linear modeling of hydraulic system, a modeling method based on BP neural network is put forward. The complex hydraulic system, according to the structure and relationship of hydraulic system, is divided into simpler subsystems, a complete network is established and performance of network is analysis with the interaction between hydraulic system , a hydraulic buffer system modeling method in MK7-3 slide wheel buffer modeling is discussed, in the application of neural network of the. The results show that the simulation of MK7 type pulley buffer based on BP neural network is accurate.

Copyright

© 2016, 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  - Ke Bi
AU  - Xiang Li
AU  - Zhiying Tang
AU  - Yemeng Wei
AU  - Gang Wu
PY  - 2016/05
DA  - 2016/05
TI  - Reasarch of Architecture based BP Neural Network in Modeling of Sheave Buffer
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 550
EP  - 553
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.112
DO  - 10.2991/wartia-16.2016.112
ID  - Bi2016/05
ER  -