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The Influence of Chemical Element on Properties of Deformed Steel Bar
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作者 Ruixiang Han Menghui Hu +2 位作者 Qian Pei Dianxuan Gong Yunxia Song 《Open Journal of Statistics》 2016年第6期1174-1180,共8页
In this paper, the relationship between steel and chemical elements is explored. A production record of a steel mill is adopted for two years, which is used as the basic data to standardize the data. Then, according t... In this paper, the relationship between steel and chemical elements is explored. A production record of a steel mill is adopted for two years, which is used as the basic data to standardize the data. Then, according to the correlation coefficient method between the hot-rolled ribs No. 1 and No. 2 hot-rolled ribs, the correlation between the two sets of data is analyzed. The main influencing factors of the hot-rolled ribs properties are obtained qualitatively. Then, the logistic regression method is used. Finally, according to the national standard of Chinese steel, the linear optimization model of Cr and Mn and V elements was established, and the change range of Cr was obtained without affecting the performance of hot rolled ribs. 展开更多
关键词 Correlation Analysis Logistic Regression Linear Optimization Model Hot-Rolled Ribbed Bar
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Regional Economic Vitality Based on Weighted Grey Relational Analysis
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作者 Yi Liu Xiaoyu You Chunshuo Zhang 《Journal of Economic Science Research》 2020年第2期12-18,共7页
The future development of cities has a great relationship with economic vitality.To determine the size of the economic vitality and its main influencing factors.This article takes some cities in China as examples.Firs... The future development of cities has a great relationship with economic vitality.To determine the size of the economic vitality and its main influencing factors.This article takes some cities in China as examples.First,determine the main factors.Aiming at many factors,this paper starts from the perspective of population changes in different cities and changes in corporate vitality.After applying the rough set theory to objectively evaluate index weights,the main factors are screened out.Then,the weights of the corresponding evaluation indexes of each group of cities are calculated by a multiple linear regression to a weighted index system,and then the cities are ranked using the gray correlation analysis method.Finally,we get the ranking of the economic vitality level of different cities.Finally,suggestions are made based on the weighting factors of major factors and economic vitality. 展开更多
关键词 Rough set Time series Weighted grey correlation analysis Economic vitality Influencing factors
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