基于BP神经网络的中关村示范区企业专利创造与运用绩效评估

发布时间：2018-08-07 18:12

【摘要】：摘要：当今知识经济迅猛发展,知识产权已经成为国家和企业竞争的焦点,专利作为知识产权的核心内容,成为国家和企业制定发展战略不可忽视的重要内容。但是近年来,在经济快速发展同时,多数企业对专利认识度比较浅、没有自身的核心专利以及对专利不能够高效运用等情况,导致企业不能长远和健康的发展,在同行业竞争中处于劣势。因此建立一个客观公正的企业专利创造与运用绩效评估体系,显得尤为重要,对企业专利战略制定和发展起到帮助。本文首先介绍了国内外和中关村示范区企业专利创造与运用绩效方面的研究现状,阐述现阶段研究企业专利创造与运用绩效评估的意义。其次通过大量阅读相关文献资料对专利、绩效评估、BP神经网络等相关概念进行了界定和对两种评估方法进行了介绍。然后在对企业专利相关概念和评估指标建立原则理解上,建立了技术指标、管理指标、市场价值指标、经济指标以及环境指标5个一级指标和17个二级指标的企业专利创造与运用绩效评价指标体系。在此指标体系的基础上,运用BP神经网络理论构建了基于BP神经网络的企业专利创造与运用绩效评价模型。本文最后选取大唐电信得专利创造与运用情况来进行实例论证评估,首先通过灰色多层次评估法对大唐电信专利创造与运用绩效进行评估。然后进行基于BP神经网络的评估对大唐电信专利创造与运用绩效进行了评估,评估结果与灰色多层次评估结果一致,从而证明了证实了本文所设计的评估指标体系的合理性、科学性和评估模型的可行性,同时也证明了BP神经网络应用于企业专利创造与运用绩效评估的可行性和正确性,并通过两种方法比较得出BP神经网络的优越性,为中国企业健康发展和提高市场竞争力提供了帮助。
[Abstract]:Abstract: with the rapid development of knowledge economy, intellectual property rights have become the focus of competition between countries and enterprises. As the core content of intellectual property rights, patent has become an important content for countries and enterprises to formulate development strategies. However, in recent years, at the same time of rapid economic development, most enterprises have a relatively shallow understanding of patents, do not have their own core patents and can not be used efficiently for patents, resulting in enterprises unable to develop in a long-term and healthy manner. At a disadvantage in competition in the same industry. Therefore, it is very important to establish an objective and fair evaluation system of patent creation and application performance, which is helpful to the establishment and development of patent strategy. This paper first introduces the research status of patent creation and application performance at home and abroad and Zhongguancun demonstration area, and expounds the significance of the current research on enterprise patent creation and application performance evaluation. Secondly, through reading a lot of related literature, this paper defines the related concepts such as patent, performance evaluation and BP neural network, and introduces two evaluation methods. Then, on the understanding of the establishment principle of enterprise patent related concept and evaluation index, the technical index, management index and market value index are established. The evaluation index system of enterprise patent creation and application of economic index, environmental index, 5 first-class index and 17 second-class index. On the basis of this index system, the model of enterprise patent creation and application performance evaluation based on BP neural network is constructed by using BP neural network theory. At the end of this paper, we select the situation of patent creation and application of Datang Telecom as an example to evaluate the performance of patent creation and application of Datang Telecom through grey multi-level evaluation method. Then the evaluation based on BP neural network is carried out to evaluate the performance of patent creation and application of Datang Telecom. The evaluation results are consistent with the grey multi-level evaluation results, which proves the rationality of the evaluation index system designed in this paper. At the same time, it proves the feasibility and correctness of BP neural network applied to enterprise patent creation and performance evaluation, and obtains the superiority of BP neural network by comparing the two methods. For the healthy development of Chinese enterprises and improve the competitiveness of the market to provide help.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP183;F273.1

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