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APPLICATION OF SIMILARITY PRINCIPLE TO STRATIFICATION THEORY STUDY IN GRAVITY CONCENTRATION 被引量:1
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作者 WEI Dezhou SUN Yubo Northeast University of Technology,Shenyang,China WEI Dezhou,Lecturer,Dept.of Mineral Engineering,Northeast University of Technology,Shenyang 110006,China 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 1990年第8期91-99,共9页
The stratification processes have been studied by the application of the similarity principle, and the similarity criteria has also been derived.Two possible π-equations were deduced from the experimental results.The... The stratification processes have been studied by the application of the similarity principle, and the similarity criteria has also been derived.Two possible π-equations were deduced from the experimental results.The approach of the π-equation to predict separating results and to control the separating processes is presented with examples. 展开更多
关键词 similarity principle π-equation gravity concentration gravitative stratification
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Similarity principle of microwave argon plasma at low pressure
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作者 Xiao-Yu Han Jun-Hong Wang* +3 位作者 Mei-E Chen Zhan Zhang Zheng Li Yu-Jian Li 《Chinese Physics B》 SCIE EI CAS CSCD 2018年第8期386-392,共7页
In order to validate the similarity principle of microwave breakdown, a two-dimensional (2D) fluid model of low- pressure microwave argon plasma is established and solved by the finite-element method. Proportional c... In order to validate the similarity principle of microwave breakdown, a two-dimensional (2D) fluid model of low- pressure microwave argon plasma is established and solved by the finite-element method. Proportional conditions are used in this model to build three different breakdown processes that meet the premise of a similarity principle, and these breakdown processes are called "similar cases" in this paper. Similar cases have proportionately sized breakdown regions, where the ratio of frequency of incident microwave f to gas pressure p (f/p), and the reduced field E/p in them are kept the same. All the important physical parameters such as electron density, electron temperature, and reduced electric field can be obtained from the simulation of this model. The results show that the parameters between similar cases are in constant ratio without changing with time, which means that the similarity principle is also valid in microwave breakdown. 展开更多
关键词 similarity principle microwave plasma low pressure 2D fluid model
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Static rough similarity degree and its applications
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作者 Xu Xiaojing Li Jian Shi Kaiquan 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第2期311-315,共5页
The definition of rough similarity degree is given based on the axiomatic similarity degree, and the properties of rough similarity degree are listed. Using the properties of rough similarity degree, the method of clu... The definition of rough similarity degree is given based on the axiomatic similarity degree, and the properties of rough similarity degree are listed. Using the properties of rough similarity degree, the method of clustering in rough systems can be obtained. After clustering, a new sample can be recognized by the principle of maximal rough similarity degree. 展开更多
关键词 rough similarity degree CLUSTERING recognition of rough pattern maximal similarity degree principle.
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Rough similarity degree and rough close degree in rough fuzzy sets and the applications
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作者 Li Jian Xu Xiaojing Shi Kaiquan 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第5期945-951,共7页
Based on rough similarity degree of rough sets and close degree of fuzzy sets, the definitions of rough similarity degree and rough close degree of rough fuzzy sets are given, which can be used to measure the similar ... Based on rough similarity degree of rough sets and close degree of fuzzy sets, the definitions of rough similarity degree and rough close degree of rough fuzzy sets are given, which can be used to measure the similar degree between two rough fuzzy sets. The properties and theorems are listed. Using the two new measures, the method of clustering in the rough fuzzy system can be obtained. After clustering, the new fuzzy sample can be recognized by the principle of maximal similarity degree. 展开更多
关键词 rough fuzzy set rough similarity degree rough close degree CLUSTERING recognition of rough pattern maximal similarity degree principle.
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Seismic Physical Modeling Technology and Its Applications 被引量:1
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作者 Di Bangrang Wei Jianxin Mou Yongguang 《Petroleum Science》 SCIE CAS CSCD 2006年第2期39-46,共8页
This paper introduces the seismic physical modeling technology in the CNPC Key Lab of Geophysical Exploration. It includes the seismic physical model positioning system, the data acquisition system, sources, transduce... This paper introduces the seismic physical modeling technology in the CNPC Key Lab of Geophysical Exploration. It includes the seismic physical model positioning system, the data acquisition system, sources, transducers, model materials, model building techniques, precision measurements of model geometry, the basic principles of the seismic physical modeling and experimental methods, and two physical model examples. 展开更多
关键词 Seismic physical modeling similarity principle experimental system TRANSDUCER
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Machine Knowledge and Human Cognition 被引量:1
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作者 Fashen Li Lian Li +10 位作者 Jianping Yin Liang Huang Qingguo Zhou Ning An Yong Zhang Li Liu Jialin Zhang Kun Kuang Lei Yang Zhixi Wu Lianchun Yu 《Big Data Mining and Analytics》 EI 2020年第4期292-299,共8页
Intelligent machines are knowledge systems with unique knowledge structure and function.In this paper,we discuss issues including the characteristics and forms of machine knowledge,the relationship between knowledge a... Intelligent machines are knowledge systems with unique knowledge structure and function.In this paper,we discuss issues including the characteristics and forms of machine knowledge,the relationship between knowledge and human cognition,and the approach to acquire machine knowledge.These issues are of great significance to the development of artificial intelligence. 展开更多
关键词 intelligent machine machine knowledge human cognition knowledge interpretation principle of functional similarity Probable Approximative Correction(PAC)model
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