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

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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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  -