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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
力学研究所 [1]
地理科学与资源研究所 [1]
西安光学精密机械研究... [1]
采集方式
OAI收割 [5]
内容类型
会议论文 [5]
发表日期
2021 [1]
2016 [1]
2012 [3]
学科主题
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内容类型:会议论文
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Job Recommendation System Based on Analytic Hierarchy Process and K-means Clustering
会议论文
OAI收割
Virtual, Online, Australia, 2021-06-25
作者:
Feng, Peini
;
Jiahao Jiang, Charles
;
Wang, Jiale
;
Yeung, Sunny
;
Li, Xijie
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/11/08
A study of the optimization design method for a high speed train
会议论文
OAI收割
Cagliari, Sardinia, Italy , 5-8 April 2016
作者:
Zhao GL
;
Sun ZX(孙振旭)
;
Yao SB(姚拴宝)
;
Guo DL(郭迪龙)
;
Yang GW(杨国伟)
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2018/11/08
Aerodynamic drag
Genetic algorithms
Lift
Railroad cars
Railroads
Aerodynamic lift
Ga
grnn
High speed train (HST)
Kriging model
Optimization design
Optimization method
Surrogate model
Tracking Error Modeling of the Theodolite Based on GRNN Method
会议论文
OAI收割
2012
作者:
Li M.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2013/03/28
Tracking error modeling of the theodolite based on GRNN method (EI CONFERENCE)
会议论文
OAI收割
2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011, December 11, 2011 - December 13, 2011, Taichung, Taiwan
作者:
Li M.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/03/25
To meet the requirement of high tracking accuracy as well as develop more reasonable evaluation method
in this paper
the General Regression Neural Network (GRNN) has been applied to build the tracking error model of the theodolite. First
we analyze the nonlinear factors in the theodolite. Second
we discuss the principle of GRNN
including its structure
the function as well as its priors. Third
we build the tracking error model based on GRNN and verify the model through the different parameters. The result indicated that the network model based on GRNN has high accuracy and good generalization ability. It could instead the real system to a certain extent. The research in this paper has important value to the engineering practice.
A GA-SVM based model for throwing rate prediction in the open-pit cast blasting
会议论文
OAI收割
无, 无, 无
Liu,Xi-Liang(刘希亮)
;
Zhao,Xue-Sheng
;
Lu,Feng
;
Sun,Wen-Bin
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/12/04