Study on Partner Selection for Virtual Enterprise Based on BP Neural Network

Partner selection is very important for virtual enterprise and decides the success or failure of virtual enterprise. This paper constructed an evaluation index system of partner selection for virtual enterprise. Then the paper established a partner selection model. with multilayer feedforward neural network structure based on error back-propagation (BP) algorithm. The model had strong self-learning, self-adaptation, parallel processing and nonlinear conversion abilities and combined qualitative with quantitative analysis together. A case study was conducted and the result verified the validity and accuracy of the proposed model. Partner selection model based on BP neural network provides a new way to select partners for virtual enterprise and has broad application prospects in nonlinear domain.