A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network

Joint Authors

Si, Lei
Tan, Chao
Qi, Nan
Yao, Xingang
Wang, Zhong-bin
Zhou, Xin
Liu, Xin-hua

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-03-09

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Biology

Abstract EN

In order to realize pressure control of emulsion pump station which is key equipment of coal mine in the safety production, the control requirements were analyzed and a pressure control method based on Elman neural network was proposed.

The key techniques such as system framework, pressure prediction model, pressure control model, and the flowchart of proposed approach were presented.

Finally, a simulation example was carried out and comparison results indicated that the proposed approach was feasible and efficient and outperformed others.

American Psychological Association (APA)

Tan, Chao& Qi, Nan& Zhou, Xin& Liu, Xin-hua& Yao, Xingang& Wang, Zhong-bin…[et al.]. 2015. A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057732

Modern Language Association (MLA)

Tan, Chao…[et al.]. A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057732

American Medical Association (AMA)

Tan, Chao& Qi, Nan& Zhou, Xin& Liu, Xin-hua& Yao, Xingang& Wang, Zhong-bin…[et al.]. A Pressure Control Method for Emulsion Pump Station Based on Elman Neural Network. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057732

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1057732