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基于支持向量机的中小企业自主创新能力评价指标识别
引用本文:赵杰.基于支持向量机的中小企业自主创新能力评价指标识别[J].科技和产业,2019,19(5):71-75.
作者姓名:赵杰
作者单位:常熟理工学院 ,江苏常熟,215500
基金项目:江苏省软科学项目;江苏省社科应用、精品项目;苏州市社科基金项目
摘    要:中小企业自主创新能力是国家社会经济发展的重要驱动力,客观科学地评价中小企业自主创新能力,将有助于其健康成长,针对企业自主创新能力评价指标设计随意性、片面、交叉繁杂的现状,通过建立SVM指标识别模型,并利用苏州五县市25家中小企业的100个数据进行实证分析,结果显示该模型对研究者从任意角度设计出中小企业自主创新能力评价指标有一定的识别能力,由此确保构建出的自主创新能力评价指标体系将更趋于合理实用。

关 键 词:支持向量机  自主创新能力  指标识别

Independent Innovation Ability Evaluation Indexes Identification of SMEs Based on SVM
Abstract:The independent innovation ability of SMEs is an important driving force for the country''s social and economic development, and the objective and scientific evaluation of the independent innovation capability of SMEs will contribute to their healthy growth. Aiming at the phenomenon of randomness, one-sidedness and overlapping in the process of designing evaluation indexes, this paper established a SVM index identification model and made empirical analysis for 25 small and medium enterprises of Suzhou City. The analysis results showed that the model has certain recognition ability for the independent innovation evaluation indexes of SMEs which designed by researchers from any angle. Thus, the evaluation index system of independent innovation capability will be more reasonable and practical.
Keywords:support vector machine  independent innovation ability  index identification
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