CORC

在结果中检索

CORC

浏览/检索结果: 共112条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
THE HOT-ROLLING BATCH SCHEDULING METHOD BASED ON THE PRIZE COLLECTING VEHICLE ROUTING PROBLEM 期刊论文
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2009, 卷号: 5, 期号: 4, 页码: 749-765
作者:  Zhang, Tao;  Chaovalitwongse, W. Art;  Zhang, Yue-Jie;  Pardalos, P. M.
收藏  |  浏览/下载：5/0  |  提交时间：2019/08/22
A Six-Dimensional Magnetic Localization Algorithm for a Rectangular Magnet Objective Based on a Particle Swarm Optimizer 期刊论文
IEEE TRANSACTIONS ON MAGNETICS, 2009, 卷号: 45, 期号: 8, 页码: 3092-3099
作者:  Yang, Wan'an;  Hu, Chao;  Meng, Max Q. -H.;  Song, Shuang;  Dai, Houde
收藏  |  浏览/下载：15/0  |  提交时间：2019/12/16
基于局部线性嵌入映射的非线性传感器故障诊断研究 学位论文
沈阳: 中国科学院沈阳自动化研究所, 2009
作者:  张伟
收藏  |  浏览/下载：10/0  |  提交时间：2010/11/29
基于局部线性嵌入映射的非线性传感器故障诊断研究 学位论文
沈阳: 中国科学院沈阳自动化研究所, 2009
作者:  张伟
收藏  |  浏览/下载：37/0  |  提交时间：2010/11/29
On mass effects to artificial physics optimisation algorithm for global optimisation problems 期刊论文
International Journal of Innovative Computing and Applications, 2009, 卷号: 2, 期号: 2, 页码: 69-76
作者:  Xie, Liping;  Zeng, Jianchao;  Cui, Zhihua
收藏  |  浏览/下载：26/0  |  提交时间：2020/11/14
Forecasting model of research octane number based on PSO-VB-LSSVM 期刊论文
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2009, 卷号: 30, 期号: 2, 页码: 335-339
作者:  Li, Wei;  Shi, Liansheng;  Liang, Chenglong
收藏  |  浏览/下载：30/0  |  提交时间：2020/11/14
A Six-Dimensional Magnetic Localization Algorithm for a Rectangular Magnet Objective Based on a Particle Swarm Optimizer 期刊论文
IEEE TRANSACTIONS ON MAGNETICS, 2009, 卷号: 45, 期号: 8, 页码: 3092-3099
作者:  Wan’an Yang;  Chao Hu;  Max Q.-H. Meng;  Shuang Song;  Houde Dai
收藏  |  浏览/下载：4/0  |  提交时间：2015/08/21
Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文
2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China
Wang D.; Ge W.; Wang Y.
收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25
In feature-level fusion recognition system  the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general  there are two main missions. One is improving the recognition correct rate as soon as possible  the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions  this paper presents a more rational and accurate optimization  Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition  we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last  we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points  while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.  
PeckCryst: a program for structure determination from powder diffraction data using a particle swarm optimization algorithm 期刊论文
JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2009, 卷号: 42, 页码: 1189
Feng, ZJ; Dong, C; Jia, RR; Di Deng, X; Cao, SX; Zhang, JC
收藏  |  浏览/下载：12/0  |  提交时间：2013/09/24
THE MIXED ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH SIMULTANEOUS PICK-UP AND DELIVERY 会议论文
作者:  Zhang, Tao;  Zhang, Yue-Jie;  Chen, Qi;  Sun, Yan
收藏  |  浏览/下载：4/0  |  提交时间：2019/08/22

©版权所有 ©2017 CSpace - Powered by CSpace