Research and application of patent value rapid screening algorithm based on big data and neural network

Compared with traditional patent data management and retrieval, this paper uses artificial intelligence and big data analysis methods to quickly screen out patents with high market promotion value from massive patent data. In addition, from the practical perspectives of promoting the transformation and promotion of achievements and improving the adaptability of patents to the needs of market development, this paper proposes a method for evaluating the value relationship between innovation and entrepreneurship achievements and patent operations. Through practical case verification, the method proposed in this paper can stimulate the potential value of patents and efficiently promote the commercialization and product transformation of patent achievements. This has reference significance for improving the transformation efficiency of scientific and technological achievements.