Research on Company Operation Performance Evaluation Based on BP Neural Network

DOI

10.2991/iccse-15.2015.31How to use a DOI?

Keywords

Operation performance, BP neural network, Data envelopment analysis, Comprehensive evaluation

Abstract

For operation performance evaluation of company mainly uses linear or nonlinear evaluation model. The nonlinear model can better simulate the economic phenomena, and its evaluation results are more objective, accurate and have more practical reference value. From the assessment of the input-output efficiency perspective, this paper build the evaluation index system based on basic financial indicators. On this basis, the high-tech company operation performance evaluation model is established based on BP neural network. 20 listed companies’ financial data in 2012 are regarded as the training and testing samples of neural network. The trained BP neural network are applied in evaluating the company operation performance, and its empirical results are satisfactory.

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  - Lili Zhang
AU  - Weiping Zhong
PY  - 2015/07
DA  - 2015/07
TI  - Research on Company Operation Performance Evaluation Based on BP Neural Network
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 178
EP  - 182
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.31
DO  - 10.2991/iccse-15.2015.31
ID  - Zhang2015/07
ER  -