Emerging Technology Identification In The Field Of CNC Machine Tools Based On Citation Network Analysis And Deep Learning

CNC machine tool is an important indicator to measure the development level of a country’s equipment manufacturing industry as the machine tool of equipment manufacturing industry.So finding a way to identify the emerging technologies in the field of CNC machine tool is of great importance to the national development strategy.Therefore,this thesis studies identification schemes of the emerging technology in the field of CNC machine tools.Through exploring several methods such as traditional bibliometrics,machine learning classification,and citation network analysis,we propose two classification schemes from different perspectives,and the effectiveness of the scheme was verified at last.This thesis starts from the introduction of traditional bibliometrics,through the extraction and measurement of patent indicators,we finish the division of emerging technologies based on measurement results.After bibliometric analysis,we find that the division criteria is unclear,and it is difficult to divide the samples with complex features.In order to solve the problems mentioned above,we propose an experimental scheme combining data augmentation and deep learning.The GAN data augmentation model is used to solve the problem of less training samples.Being trained with the augmented training set,the DNN classifier has achieved good classification results on the test set,so that and the validity of the model is verified.As a typical model of the emergence and development of emerging technologies,technology fusion has led to extensive research and attention.This paper proposes a fusion emerging technology identification method based on citation network analysis from the perspective of technology development path analysis.By citing network analysis,the development path of technology is studied to predict its future development trend.The cloud platform technology in the field of numerical control machine tools is taken as an example to prove the feasibility of the scheme.