Evaluation Model and Index System for Enterprise Strategic Management Capability Based on Neural Network Algorithms

Authors

  • Tingting Shang School of Computer Science and Engineering, Xinjiang University of Finance & Economics, Urumqi, Xinjiang 830000, China

Abstract

In recent years, China’s economy has developed at a high speed, in which small and medium-sized enterprises have played a mainstay role. In the rapid development of small and medium-sized enterprises, their strategic management ability is related to the speed of expansion of the enterprises and the attraction of investors. This paper briefly introduces the strategic management capability of enterprises and subdivides it into eight indicators. Moreover the evaluation index system of strategic management capability is developed, and the evaluation model of strategic management capability based on Back-Propagation (BP) neural network algorithm is introduced. Then the strategic management capability of nine enterprises was simulated. The results showed that the precision of the evaluation model increased with the increase of training time and this was stable after 400 cycles of training, and the mean square error was smaller than 10−5 after 550 cycles of training. Compared with the traditional multiple regression equation, the scores and qualitative evaluation results of the management ability of enterprise A, B and C are more accurate and closer to the standard results of expert comprehensive evaluation.

Keywords: Back-Propagation neural network, strategic management ability, evaluation model, index system

Cite As

T. Shang, "Evaluation Model and Index System for Enterprise Strategic Management Capability Based on
Neural Network Algorithms", Engineering Intelligent Systems, vol. 27 no. 2, pp. 79-83, 2019.


 

 

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Published

2019-06-01

Issue

Vol. 27 No. 2 (2019): International Journal of Engineering Intelligent Systems

Section

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