高校专利申请前价值评估体系构建及实证研究

Construction and demonstration of value evaluation system before patent application in Colleges and Universities

摘要:

【目的/意义】随着高校科研成果产出的日益丰富,开展高校专利申请前评估工作、筛选高价值专利成为促进高校科技成果转化的重要举措。【方法/过程】基于5个价值维度和17个指标对高校专利申请前价值评估体系进行构建,运用BP-神经网络、层次聚类法对部分价值评分较高的专利进行宏观与微观的多维综合评价,分别对测试样本聚成的3个梯度给出培育方向。【结果/结论】评估模型能够有效识别高校内部的高价值专利,有助于推动高校科技成果的创造、培育工作的顺利开展。

Abstract:

With the increasing output of scientific research achievements in Colleges and universities, it has become an important measure to promote the transformation of scientific and technological achievements in Colleges and universities to carry out the pre application evaluation of patents in Colleges and universities, screen high-value patents and actively cultivate them. Based on five value dimensions and 17 indicators, this paper constructs the value evaluation system before patent application in Colleges and universities, uses BP neural network and hierarchical clustering method to conduct macro and micro multi-dimensional comprehensive evaluation on some patents with high value scores, and gives the cultivation direction for the three gradients formed by the test samples respectively. The research shows that the evaluation model can effectively identify the high-value patents in Colleges and universities, and help to promote the smooth development of the creation and cultivation of scientific and technological achievements in Colleges and universities.