Performance Prediction Analysis of Hydraulic Pump Based on Improved BP Neural Network

Dongyang Zhang, Shaohui Su, Yiting Wang, Chang Chen, Shengran Meng, Guojin Chen

2018

Abstract

Aiming at the disadvantages of standard BP neural network about slow convergence rate and getting into local minimum value easily, the momentum factor and conjugate gradient method are introduced to optimize the BP neural network,and the convergence speed and prediction accuracy are improved. The improved BP neural network is applied to the performance prediction of hydraulic pump with different characteristic hydraulic oil, and the forecast result is compared with the standard BP algorithm prediction value and the actual value. The results show that the improved BP algorithm has better prediction results on the performance prediction of hydraulic pump, which not only improves the calculation speed, but also improves the prediction precision greatly, and also has a good application prospectin the intelligent manufacturing industry.

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Paper Citation


in Harvard Style

Zhang D., Su S., Wang Y., Chen C., Meng S. and Chen G. (2018). Performance Prediction Analysis of Hydraulic Pump Based on Improved BP Neural Network.In Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - Volume 1: ICIMM, ISBN 978-989-758-345-2, pages 311-318. DOI: 10.5220/0007531103110318


in Bibtex Style

@conference{icimm18,
author={Dongyang Zhang and Shaohui Su and Yiting Wang and Chang Chen and Shengran Meng and Guojin Chen},
title={Performance Prediction Analysis of Hydraulic Pump Based on Improved BP Neural Network},
booktitle={Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - Volume 1: ICIMM,},
year={2018},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007531103110318},
isbn={978-989-758-345-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent Manufacturing and Materials - Volume 1: ICIMM,
TI - Performance Prediction Analysis of Hydraulic Pump Based on Improved BP Neural Network
SN - 978-989-758-345-2
AU - Zhang D.
AU - Su S.
AU - Wang Y.
AU - Chen C.
AU - Meng S.
AU - Chen G.
PY - 2018
SP - 311
EP - 318
DO - 10.5220/0007531103110318