基于人工神经网络的中国区域科技成果产业化评价研究

发布时间：2018-03-15 07:33

本文选题：科技成果　切入点：产业化　出处：《福州大学》2014年硕士论文　论文类型：学位论文

【摘要】：科技成果产业化是推动经济、社会发展的内在动力,也是衡量一地区创新能力的重要标准。随着国际竞争的加剧,世界各国都制定各种政策,以加快科技成果走出实验室完成产业化的进程,取得了良好的效果。我国每年都有不少的科技成果问世,然而由于科学技术落后,产业化起步较晚,科技成果的产业化率同发达国家相比尚有较大差距。这不能不引起对科技成果产业化问题的思考。为此,本文采用BP神经网络模型和算法,利用我国26个省市的科技成果产业化的相关数据作为训练样本,得出仿真模型。在此基础上,利用仿真模型评价四个地区的产业化水平,为解决我国产业化水平低提供政策建议。首先,本文梳理了国内外学者有关产业化的理论和实践研究,解析了科技成果产业化的特征、流程和影响因素,为BP神经网络模型的构建和相应指标体系的建立提供了理论依据。其次,本文介绍了科技成果产业化的相关概念和理论基础。在此基础上,通过分析我国区域科技成果产业化评价的一般方法,结合本文需要,构建了基于BP神经网络的科技成果产业化的评价指标体系。在指标体系的构建中,本文综合了考虑其他专家学者的研究发现,设计了符合区域科技成果产业化评价的指标体系,对于完善我国科技成果产业化评级体系具有很强的指导意义。再次,根据评价指标体系设计的内容,本文通过查找我国30个省市的科技成果产业化数据,构建了涉及26个省市的BP神经网络训练样本模型,然后利用仿真样本做仿真,分析福建、上海、湖南和新疆四个地区的产业化水平。最后,通过实证研究,本文发现我国科技成果产业化的整体水平不高,不同地区间存在着很多差异。发达地区的科技成果产业水平明显高于相对落后的省市。因此本文分析了我国科技成果产业化过程中存在的一些问题并基于这些问题提出相关政策建议,以进一步提升我国科技成果产业化的整体效率。
[Abstract]:The industrialization of scientific and technological achievements is the internal motive force for promoting economic and social development, as well as an important standard for measuring the innovation ability of a region. With the intensification of international competition, all countries in the world have formulated various policies. In order to speed up the process of scientific and technological achievements coming out of the laboratory to complete industrialization, good results have been achieved. Many scientific and technological achievements come out every year in China, however, because of the backward science and technology, industrialization starts late. Compared with the developed countries, the industrialization rate of scientific and technological achievements is still far from that of the developed countries. This cannot avoid thinking about the industrialization of scientific and technological achievements. Therefore, the BP neural network model and algorithm are adopted in this paper. Using the relevant data of the industrialization of scientific and technological achievements in 26 provinces and cities of China as training samples, the simulation model is obtained. On this basis, the industrialization level of four regions is evaluated by using the simulation model. In order to solve the problem of low industrialization level in China, this paper provides policy suggestions. Firstly, this paper reviews the theoretical and practical research on industrialization of domestic and foreign scholars, and analyzes the characteristics, processes and influencing factors of industrialization of scientific and technological achievements. It provides a theoretical basis for the construction of BP neural network model and the establishment of corresponding index system. Secondly, this paper introduces the related concepts and theoretical basis of industrialization of scientific and technological achievements. Based on the analysis of the general methods of industrialization evaluation of regional scientific and technological achievements in China and the needs of this paper, the evaluation index system of industrialization of scientific and technological achievements based on BP neural network is constructed. This paper synthetically considers the research findings of other experts and scholars, and designs an index system that accords with the evaluation of regional scientific and technological achievements industrialization, which has a strong guiding significance for perfecting the grading system of the industrialization of scientific and technological achievements in China. According to the content of the evaluation index system design, this paper constructs a BP neural network training sample model involving 26 provinces and cities by looking up the industrialization data of scientific and technological achievements of 30 provinces and cities in China. The industrialization level of Shanghai, Hunan and Xinjiang. Finally, through empirical research, this paper finds that the overall level of industrialization of scientific and technological achievements in China is not high. There are many differences between different regions. The industrial level of scientific and technological achievements in developed regions is obviously higher than that in relatively backward provinces and cities. Therefore, this paper analyzes some problems existing in the industrialization of scientific and technological achievements in China and based on these questions. Put forward relevant policy recommendations, In order to further enhance the overall efficiency of industrialization of scientific and technological achievements in China.
【学位授予单位】：福州大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F124.3;TP183

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