원문정보
초록
영어
With the development of information technology, E-business is the important way for enterprises to develop. But with more and more fierce competitiveness, the main problem which faced by the enterprise is how to take steps to keep the competitiveness. By setting up competitiveness evaluation model based on the discrete Hopfield neural network to help enterprise know the weakness and take steps to enhance the competitiveness. Firstly, the index systems which include 7 first level and 23 second level indexes established by investigation, the main indexes include basic resources, product advantages, price advantages, service capability, promotion capability, profitability, innovation and so on. Then build the evaluating model based on the discrete Hopfield neural network according to 20 enterprises. Through designing the ideal level evaluation and encoding ideal level evaluation index by Matlab, the analysis result can be achieved by Hopfield simulation. At last, a case study is used to test the model with the data of five customer to customer enterprises. Through the qualitative and quantitative evaluation, the enterprise can see which element or how many elements will affect the competitiveness, the weakness of competitiveness and clear direction to improve and enhance competitiveness.
목차
1. Introduction
2. The Theory Outlined (Discrete Hopfield Neural Network)
2.1. Principle of Hopfield
2.2. Network Working Methods and Stability
2.3. Learning Rule
3. Model of C2C E-Commerce Enterprise Competitiveness Evaluation
3.1. Set up the Evaluation Index System
3.2. Design the Ideal Level Evaluation
3.3. Encode Ideal Level Evaluation Index
4. Case Study
4.1. Analysis the Criteria Layers of Information Security
4.2. Network Construction
4.3. Simulation and Analysis
4.4. Analysis of Results
5. Conclusion
Acknowledgements
References