Yao Zhang
ABSTRACT
In this paper, we analyze patents of railway industry in international patent database produced by the European Patent Office from year 2013 to 2017. Based on statistics of patent records in database, we build Auto-Regressive-Moving-Average (ARMA) models to predict the number of different types of patents in railway industry, the analysis results show that high prediction accuracy can be obtained. Furthermore, we propose a patent value evaluation scheme to evaluate patent values in railway industry. Through our work, the hot research spots, technology trajectories and development tendency of patents in railway industry can be adequately understood.
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Index Terms
- Data Analysis of Railway Industry Patents
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