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Evaluation of Market Competitiveness of Sport Competition Product Based on SVM.doc
Evaluation of Market Competitiveness of Sport Competition Product Based on SVM
*Corresponding author.Yu Feng
Abstract. This article constructs evaluation index system based on Analytic Hierarchy Process, comparative analysis and so on. Further, it conducts a study on the market competitiveness evaluation of sports competition products in Guangdong Province by this evaluation index system. A novel method for market competitiveness evaluation of the sport competition product, i.e. SVM based market competitiveness evaluation method for sport competition product, is proposed. SVM is less dependent on sample data and the model is still good at generalization after learning limited samples. Compared with the fuzzy evaluation model, the model established by SMV is more advantageous in competitiveness evaluation for sport competition product. Empirical results show that this is an effective method to evaluate the sport competition product competitiveness. So, the article provides a theoretical basis for scientifically, systematically and effectively evaluating the different sports competitions and their market competitiveness.
Key words: Sport competition product, Market competitiveness, Evaluation index, SVM (Support Vector Machine).
1. Introduction
SVM method is a new learning method based upon statistical learning methods proposed by V. N. Vapnik et al. in 1960s, which began to gain wide attention until the middle of 1990s. And it also shows particular advantages and good application prospect in the solution of small samples, nonlinearity and high- dimension problems in pattern recognition. About the high efficiency and accuracy of SVM method in different categories of researches, foreign scholars have compared it with 16 existing classification methods and concluded that SVM method is the best. Now, this method has been widely applied in many fields, such as inspection of welding defects, computer network, multiple signal classification, decision-maki
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