Evaluation Approach on Enterprise Integrated Business Efficiency Based on ANN-QPSO

Author

Gao, Yang ; Gu, Yue ; Li, Tao

Author_Institution

Sch. of Bus., Central South Univ., Changsha, China

Volume

3

fYear

2009

fDate

26-27 Dec. 2009

Firstpage

371

Lastpage

374

Abstract

This paper proposes an approach based on ANN-QPSO (artificial neural network based on quantum-behaved particle swarm optimization) to evaluate integrated business efficiency of enterprise. It uses QPSO to train the neural network to overcome local-best solution in training process. We use a test example with 35 listed enterprises to show the feasibility and efficiency of the approach.

Keywords

business process re-engineering; learning (artificial intelligence); neural nets; particle swarm optimisation; artificial neural network; enterprise integrated business efficiency; quantum-behaved particle swarm optimization; training process; Artificial neural networks; Companies; Industrial engineering; Information management; Innovation management; Metals industry; Neural networks; Particle swarm optimization; Sustainable development; Testing; artificial neural network (ANN); evaluation; integrated business efficiency; quantum-behaved particle swarm optimization (QPSO);

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-0-7695-3876-1

Type

conf

DOI

10.1109/ICIII.2009.398

Filename

5369163