Title :
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
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);
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.398
