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Issue title: Cross-domain Applications of Fuzzy Logic and Machine Learning
Guest editors: Ekaterina Isaeva and Álvaro Rocha
Article type: Research Article
Authors: Fang, Leia | Guo, Xiangchunb; *
Affiliations: [a] School of Finance, Henan University of Economics and Law, Zhengzhou, China | [b] North China University of Water Resources and Electric Power, Zhengzhou, China
Correspondence: [*] Corresponding author. Xiangchun Guo, North China University of Water Resources and Electric Power, Zhengzhou, China. E-mail: fangeconomy@126.com.
Abstract: The aim of this study is to analyze how technological innovation promotes the development of intelligent industrial system. First, A factor analysis method was used to measure technological innovation capability of intelligent industry in Henan, China from 2006–2016, the correlation between the improvement of intelligent industrial technology innovation capacity and the growth of gross output value was tested and verified. SPSS software was used to analyze the influence of R&D personnel’s total time equivalent, R&D expenditure and total internal expenditure on the total output value of intelligent industrial sectors. Results show that there is a highly positive correlation between the improvement of intelligent industrial technology innovation capacity and the growth of gross output value. R&D personnel full-time equivalent and R&D funds, internal expenditure and intelligent industrial output value is positively related, The number of R&D institutions in large and medium-sized industrial enterprises is negatively related to the total output value of modern industries, the growth of patent application authorization cannot significantly affect the development of intelligent industry system.
Keywords: Technological innovation, intelligent industry system, development function
DOI: 10.3233/JIFS-179768
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 6905-6909, 2020
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