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

筛选

浏览/检索结果: 共5条，第1-5条 帮助 限定条件 内容类型：会议论文     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 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：26/0  |  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：30/0  |  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：17/0  |  提交时间：2013/12/04