Title :
A Neural Network Approach to Evaluate Agility of Cloud-Based Virtual Enterprise
Author :
Miao Ning ; Chen Jun ; Pei Shengli
Author_Institution :
Dept. of Comput. Sci., Tianjin Univ. of Finance & Econ., Tianjin, China
Abstract :
As a new mode of Internet applications, cloud computing will become the future access to the dominant way of services and information. In cloud computing environment is more suitable for virtual enterprise, it is more powerful. In order to study how to measure Agility of Cloud-based Virtual Enterprise (CVE), the relationship between CVE and its member is analyzed first. Base on it, a new method using Bayesian Regularized Neural Network (BRNN) for Agility Evaluation of Virtual Enterprise is developed. A simulative example illustrates the usefulness of the proposed method. In contrast to the standard BP neural network, the result shows that BRNN overcome the over-fitting problems, it can be used to measure any size of CVE.
Keywords :
Bayes methods; backpropagation; cloud computing; neural nets; virtual enterprises; BP neural network approach; BRNN; Bayesian regularized neural network; CVE; Internet; agility evaluation; cloud computing environment; cloud-based virtual enterprise; Bayes methods; Cloud computing; Companies; Neural networks; Training; Virtual enterprises; BP neural network; Bayesian regularization; LT codes; agile evaluation; member; virtual enterprise;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
DOI :
10.1109/ICICTA.2014.14