Evaluation of Corporate Social Responsibility and Core Competitiveness Based on GA-SVM Model

Abstract The author proposes a model evaluation based on the GA-SVM to better understand of company’s relationship and core competitiveness. system index is reduced by relative gray analysis, support vector machine optimized genetic algorithm, specific algorithm steps are introduced. Select models from top 100 enterprises in China’s construction industry 2020 published China Construction Industry Market, using reduce measure, then use (GA-SVM) for training achieve competencies target technique business. experimental results show that error prediction GA-SVM(Genetic algorithm-support machine) competitive business not more than 5, which meets should be made accurate predictions. Therefore, choosing Gaussian radial basis kernel function (RBF) as intelligent good. It proves can analyze between role important competition.