SVR Model for Enterprise´s Self-Fulfillment Capability Evaluation

As a powerful machine learning approach for pattern recognition problems, support vector machine is known to have good generalization ability. Based on the index system of enterprise´s self-fulfillment capability, a new integrated evaluation model is established by using support vector regression method. The method has advantages of accuracy, convenience, reliability and rapidity. The method is illustrated through examples, the results obtained by using support vector regression method are compared with that from neural network method, and the results show that the support vector machine method is more effective.