Paper
25 May 2023 Research on high-quality patent evaluation methods based on machine learning
Jiyu Sun, Shengnan Zhang
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263604 (2023) https://doi.org/10.1117/12.2675169
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
The development of today's society is inseparable from the continuous renewal of science and technology. As an important indicator of scientific and technological innovation, patents reflect the core competitiveness of a country. As patent output continues to increase, the quality and value of patents become increasingly important. In this paper, the machine learning method is used to evaluate the quality of electronic information patents and identify high-quality patents from many patents, which can promote patent transfer and transformation, acquisition and custody, transaction flow, pledge financing, and other economic activities. Machine learning is more reliable and scientific than other methods. It is the task of learning corresponding rules and patterns from data and applying them to new data to make predictions.
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Jiyu Sun and Shengnan Zhang "Research on high-quality patent evaluation methods based on machine learning", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263604 (25 May 2023); https://doi.org/10.1117/12.2675169
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KEYWORDS
Patents

Machine learning

Mathematical optimization

Particle swarm optimization

Particles

Data modeling

Quality systems

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