The Improved BP Neural Network Model and Its Application in Enterprise Strategic Management Performance Measurement

DOI

10.2991/iske.2007.103How to use a DOI?

Keywords

Enterprise strategic management, Index systems, Improved BP neural network Algorithm, Performance evaluation

Abstract

To evaluate the enterprises' strategic management performance scientifically and accurately, this paper proposes the improved BP neural network model which imports the adjustable activation function and the Levenberg-Marquardt optimization algorithm. The improved model not only can simulate the expert in evaluating the strategic performance and avoiding the subjective mistakes in the evaluation process, but also enhance the learning accuracy and the algorithm convergence speed greatly. The strategic management performance evaluation of 14 enterprises in Hebei Province shows that the improved model is stable and reliable, and this method to forecast the enterprises' strategic management performance is feasible.

Copyright

© 2007, 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  - Zhibin Liu
AU  - Peng Shen
AU  - Shaomei Yang
PY  - 2007/10
DA  - 2007/10
TI  - The Improved BP Neural Network Model and Its Application in Enterprise Strategic Management Performance Measurement
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 603
EP  - 608
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.103
DO  - 10.2991/iske.2007.103
ID  - Liu2007/10
ER  -