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Research on Transformation Maturity of Scientific Research Achievements in Power Industry Based on Neural Network Model

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DOI: 10.25236/ictmic.2020.036


Yujing Gong, Liyong Duan, Yongjun Liu

Corresponding Author

Yujing Gong


The development of the economy is always accompanied by the advancement of science and technology, and it is supported by science and technology. Scientific research is changing with each passing day, and it is developing at a rapid pace. However, to truly evaluate the economic value of a scientific research achievement, its own benefits need to be measured by an evaluation system that transforms scientific research results. Facing the current situation that China's scientific research achievements are not mature enough, this paper uses neural network model to study the transformation maturity of scientific research achievements in the power industry. Through the research and analysis of this paper, more measures and policies should be implemented to accelerate the maturity of the transformation of scientific research results.


Neural network, Power industry, Scientific research, Transformation, Maturity