Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

A Study on Prediction of Equipment Asset Life Cycle Cost Based on BP Neural Network

Authors
Huansong Liu, Liang Xiong, Hanhua Yue, Weiwei Wang
Corresponding Author
Huansong Liu
Available Online July 2015.
DOI
10.2991/icismme-15.2015.330How to use a DOI?
Keywords
equipment Asset; life cycle cost; BP neural network.
Abstract

Equipment asset has a great value and use value, the management for it should be focused on the important consideration of the life cycle cost, making the disturbance of equipment asset value always permeates the overall process of equipment asset management, so as to provide scientific and reasonable baseline for decision-making related to equipment asset management. Using the methods of BP neural network, in this paper I provide a new angle of analysis for the equipment asset life cycle cost prediction through function approximation, making the prediction more operational.

Copyright
© 2015, 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 First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.330How to use a DOI?
Copyright
© 2015, 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  - Huansong Liu
AU  - Liang Xiong
AU  - Hanhua Yue
AU  - Weiwei Wang
PY  - 2015/07
DA  - 2015/07
TI  - A Study on Prediction of Equipment Asset Life Cycle Cost Based on BP Neural Network
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1574
EP  - 1579
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.330
DO  - 10.2991/icismme-15.2015.330
ID  - Liu2015/07
ER  -