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Application of a self adaptive method to the simulation of the tidal front in the Huanghai Sea 被引量:1
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作者 WANG Hui SUN Wenxin ZHOU Xubo 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2013年第3期34-41,共8页
A self adaptive three-dimensional baroclinic model is designed. A horizontal temperature gradient is used to control the grid size, which can improve computational precision in the fronts without inordinately increasi... A self adaptive three-dimensional baroclinic model is designed. A horizontal temperature gradient is used to control the grid size, which can improve computational precision in the fronts without inordinately increasing computation in the whole area. A simulation of the development and disappearance of the front in the Huanghai Sea is conducted with this model. Simulations of temperature distribution throughout the year are also conducted. The comoutational result agrees well with the observation. 展开更多
关键词 self adaptive mesh temperature front BAROCLINIC Huanghai Sea
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A Study of Self-adaptive X/Y Flow Classification Method in LER 被引量:1
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作者 SHAO Xu, DING Wei, SHI Jing lin (Continuing Education School, Beijing University of Posts and Telecommunications, Beijing 100876, P.R. China) 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2001年第2期51-55,共5页
According to the X/Y flow classification method based on TCP and UDP port, a new method named self adaptive X/Y flow classification method is proposed in the paper, which can make the curve of the ratio of la... According to the X/Y flow classification method based on TCP and UDP port, a new method named self adaptive X/Y flow classification method is proposed in the paper, which can make the curve of the ratio of label resource usage more stable than ever so as to improve the performance of both L3 forwarding and L2 label switching of LER in MPLS networks. With the simulation of real Internet data, a satisfactory classification result has been obtained. 展开更多
关键词 IP MPLS LER flow classification self adaptive
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An artificial neural network for detecting weld position in arc welding process
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作者 高向东 黄石生 余英林 《China Welding》 EI CAS 1999年第1期76-82,共7页
A kind of self organizing artificial neural network used for weld detection is presented in this paper, and its concepts and issues are discussed. The network can transform the weld visual information into typical pa... A kind of self organizing artificial neural network used for weld detection is presented in this paper, and its concepts and issues are discussed. The network can transform the weld visual information into typical patterns and match with the weld data collected on line, and so realize the accurate detection of the weld position in arc welding process. 展开更多
关键词 artificial neural networks self adaptive resonance theory VISION weld position detection
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Crystallization Kinetics of Pr8Fe86-xZrxB6 Amorphous Alloys 被引量:1
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作者 LIU Jian-hua ZHANG Peng-yue +2 位作者 ZHANG Jing-wu LI Hui ZHANG Xiang-yi 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2002年第2期49-52,共4页
Two experimental methods were adopted to verify the correctness and practicability of the shape meter method: one is to roll aluminum plate, calculate the shape stiffness of mill and rolled piece, and then measure alu... Two experimental methods were adopted to verify the correctness and practicability of the shape meter method: one is to roll aluminum plate, calculate the shape stiffness of mill and rolled piece, and then measure aluminum plate crown to verify shape stiffness equation; the other is to calculate the measured off line data of hot continuous roll and verify the shape mathematical model for measuring and controlling by self adaptation method. 展开更多
关键词 shape meter method shape stiffness equation mathematical model post calculation self adaptation
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Optimal Kinematics Design of MacPherson Suspension: Integrated Use of Grey Relational Analysis and Improved Entropy Weight Method
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作者 Qin Shi Fei Zhang +1 位作者 Yikai Chen Zongpin Hu 《Journal of Harbin Institute of Technology(New Series)》 CAS 2022年第2期41-51,共11页
Selecting design variables and determining optimal hard⁃point coordinates are subjective in the traditional multiobjective optimization of geometric design of vehicle suspension,thereby usually resulting in poor overa... Selecting design variables and determining optimal hard⁃point coordinates are subjective in the traditional multiobjective optimization of geometric design of vehicle suspension,thereby usually resulting in poor overall suspension kinematic performance.To eliminate the subjectivity of selection,a method transferring multiobjective optimization function into a single⁃objective one through the integrated use of grey relational analysis(GRA)and improved entropy weight method(IEWM)is proposed.First,a comprehensive evaluation index of sensitivities was formulated to facilitate the objective selection of design variables by using GRA,in which IEWM was used to determine the weight of each subindex.Second,approximate models between the variations of the front wheel alignment parameters and the design variables were developed on the basis of support vector regression(SVR)and the fruit fly optimization algorithm(FOA).Subsequently,to eliminate the subjectivity and improve the computational efficiency of multiobjective optimization(MOO)of hard⁃point coordinates,the MOO functions were transformed into a single⁃objective optimization(SOO)function by using the GRA-IEWM method again.Finally,the SOO problem was solved by the self⁃adaptive differential evolution(jDE)algorithm.Simulation results indicate that the GRA⁃IEWM method outperforms the traditional multiobjective optimization method and the original coordinate scheme remarkably in terms of kinematic performance. 展开更多
关键词 front wheel alignment parameters GRA IEWM selfadaptive differential evolution algorithm SVR
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