期刊：
Information Technology Journal,2012年11(3):354-358 ISSN：1812-5638
通讯作者：
Li, J.
作者机构：
[Hu, Saichun; Qiu, Biao; Li, Jiasheng; Xiao, Weichu] College of Communication and Electronic Ensaneering, Hunan City University, Yiyang, Hunan, 413000, China
通讯机构：
[Li, J.] C;College of Communication and Electronic Ensaneering, Hunan City University, China
期刊：
Advances in Information Sciences and Services,2012年4(16):503-509 ISSN：1976-3700
通讯作者：
Yang, G.(glyang@mail.ustc.edu.cn)
作者机构：
[Zuo, Weiming; Yang, Gelan] Department of Computer Science, Hunan City University, Yiyang, 413000, China;[Deng, Xiaojun] College of Computer and Communication, Hunan University of Technology, Zhuzhou, 412008, China
通讯机构：
[Yang, G.] D;Department of Computer Science, , Yiyang, 413000, China
关键词：
Blog;Network learning;Research learning
摘要：
Weblogs are becoming the grassroots publishing medium of the current electronic publishing era. This paper discussed the request of blog in the web-based learning for teachers and students. We analysed the major role of networking in research learning, and it designed research learning model which is in the blog-based network environment, it aims at predicting the trends and other inherent latent information present in the blogs with various techniques. The method achieved well effective on aspects of the application in the implementation Blog environment in research learning.
期刊：
International Review on Computers and Software,2012年7(6):3106-3112 ISSN：1828-6003
通讯作者：
Yang, G.
作者机构：
[Jin, Huixia; Yang, Gelan] School of Information Science and Engineering, Hunan City University, Yiyang, 413000, China;[Du, Hui] School of Mechanical and Electronic Engineering, Zaozhuang University, ZaoZhuang, 277160, China;[Na, Bai] National Mobile Communication Research Laboratory, Southeast University, Nanjing, 210096, China
通讯机构：
School of Information Science and Engineering, Hunan City University, China
关键词：
Community structure;Disassembly sequence planning;Modularization
作者机构：
[肖卫初; 李加升] College of Communication and Electronic Engineering, Hunan City University, Yiyang 413000, China;[肖卫初; 杨金辉] College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;[杨金辉] Chinese Institute of Electronics, Beijing 100036, China
通讯机构：
[Li, J.] C;College of Communication and Electronic Engineering, Hunan City University, China
作者机构：
[万小军] Department of Physics and Telecommunication Engineering, Hunan City University, Yiyang 413000, China;[林建国; 田延豹; 万小军] Faculty of Material and Optical-Electronic Physics, Xiangtan University, Xiangtan 411105, China
通讯机构：
[Wan, X.-J.] D;Department of Physics and Telecommunication Engineering, Hunan City University, China
期刊：
International Journal of Digital Content Technology and its Applications,2012年6(14):141-148 ISSN：1975-9339
通讯作者：
Chen, W.(hnyycwm@163.com)
作者机构：
[Chen, Weimin] School of Information Engineering, Science Hunan city university, Hunan Yiyang, 413000, China
摘要：
For the precision weakness of GM(1, 1) model in some predictions, this paper introduces the basic principle of GM(1, 1) equal-dimension new-information model and topology prediction algorithm, combines GM(1,1) equal-dimension new-information model with least square method and gets improved grey topology prediction algorithm based on a new judgment rule for selection of best prediction intersection point. To verify validity of this algorithm, this paper applies this improved grey topology prediction algorithm into prediction of annual average runoff. The prediction precision of the algorithm in this paper is higher.
期刊：
Journal of Computational Information Systems,2012年8(18):7465-7473 ISSN：1553-9105
通讯作者：
Lei, H.(leihy1976@163.com)
作者机构：
[Lei, Hongyan; Zou, Hanbin] School of Computer Science and Technology, Hunan University of Arts and Science, Changde 415000, China;[Tian, Wanglan] Department of Physics and Electronics Information Technology, Hunan City University, Yiyang 413000, China
期刊：
Information Technology Journal,2012年11(8):1032-1039 ISSN：1812-5638
通讯作者：
Li, Y.
作者机构：
[Li, Y.; Xiang, Z.; Dong, M.; Pang, Y.] College of Mathematics, Changsha University of Science and Technology, Hunan, 410004, China;[Li, Y.] State Key Lab of Structural Analysis for Industrial Equipment, Dalian University of Technology, 116024, China;[Xiang, X.] Department of Computer Science, Hunan City University, Hunan, 413000, China
通讯机构：
[Li, Y.] C;College of Mathematics, Changsha University of Science and Technology, China
关键词：
Diffusion coefficient;Drug releasing in the spherical device;Least square method;LSMSV;Separation of variables method
作者机构：
[周建存] School of Information Science and Engineering, Hunan City University, Yiyang 413000, China;[常亮; 周建存; 郭克华] School of Information Science and Engineering, Central South University, Changsha 410083, China
通讯机构：
School of Information Science and Engineering, Hunan City University, China
期刊：
Journal of Computational Information Systems,2012年8(24):10223-10230 ISSN：1553-9105
通讯作者：
Tan, Y.(tanyue7409@163.com)
作者机构：
[Tan, Guanzheng; Tan, Yue] School of Information Science and Engineering, Central South University, Changsha 410083, China;[Tan, Quanyuan] School of Municipal Administration and Mapping Engineering, Hunan City University, Yiyang 413000, China;[Ye, Yong; Yang, Bing; Tan, Yue] School of Communication and Electronic Engineering, Hunan City University, Yiyang 413000, China
通讯机构：
School of Information Science and Engineering, Central South University, China
关键词：
Chaotic local search;Genetic algorithm;Mixed integer programming;Multi-dimension;Single-dimension
期刊：
Journal of Computational Information Systems,2012年8(17):7231-7240 ISSN：1553-9105
通讯作者：
Tan, Y.(tanyue7409@163.com)
作者机构：
[Tan, Guanzheng; Tan, Yue] School of Information Science and Engineering, Central South University, Changsha 410083, China;[Wu, Xuedong] School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China;[Yang, Bing; Tan, Yue] School of Communication and Electronic Engineering, Hunan City University, Yiyang 413000, China
通讯机构：
School of Information Science and Engineering, Central South University, China
关键词：
Chaotic local search;Chaotic system;Diversity maintenance strategy;Particle swarm optimization;Premature convergence
作者：
Jia-Sheng, L.*;Lian-Jun, J.;Sai-Chun, H.;Wei-Chu, X.;Wen-Guo, L.
期刊：
Information Technology Journal,2012年11(10):1484-1489 ISSN：1812-5638
通讯作者：
Jia-Sheng, L.
作者机构：
[Jia-Sheng, L.; Sai-Chun, H.; Lian-Jun, J.; Wei-Chu, X.; Wen-Guo, L.] College of Communication and Electronic Engineering, Hunan City University, Hunan Yiyang, 413000, China
通讯机构：
[Jia-Sheng, L.] C;College of Communication and Electronic Engineering, Hunan City University, China
关键词：
Detection;Elimination of matrix type;EPS power;Voltage fluctuation
期刊：
International Journal of Digital Content Technology and its Applications,2012年6(8):343-350 ISSN：1975-9339
通讯作者：
Jia, L.(jia_4211003@126.com)
作者机构：
[Zhang, Chi; Liyuan Jia] Department of Computer Science, Hunan City University, Yiyang, 413000, China
摘要：
Differential evolution (DE) is a simple, fast, and efficient evolutionary algorithm for global numerical optimization. The major advantage of DE is its self-adaptation in both search direction and step size of the differential mutation.. On the other hand, DE is good at exploring. The search space and locating the region of global minimum, but it is slow at exploitation of the solution. In order to alleviate these drawbacks of DE, in this paper, we propose an improved self-adaptive control parameter of DE, referred to as ISADE, for global numerical optimization. In order to verify the performance of our approach, ten widely used benchmark functions and the results are compared with the original DE algorithm. Experimental results verify our expectation that the search parameters controlled DE algorithm obtains better results than the original DE algorithm in term of the solution quality and convergence rate. Our approach performs better than the original DE in terms of both the convergence rate and the quality of the final solutions. Moreover, ISADE obtains faster convergence rate than the original self-adaptive control parameter of DE (SADE).
期刊：
Journal of Convergence Information Technology,2012年7(18):464-472 ISSN：1975-9320
通讯作者：
Liu, H.(33894549@qq.com)
作者机构：
[Liu, Hean] Network Information Center, Hunan City University, Yiyang 413000, China;[Wu, Shuguang] Modern Education Technology Center, Hunan University of Technology, Zhuzhou, Hunan 412007, China
摘要：
This essay combines the global searching ability of particle swarm optimization with the local searching ability of hill climbing method, and then enhances the ability of the algorithm searches on the optimal solution, thus puts forward the Memetic algorithm research on multimodal function. The simulation results show that this algorithm not only has a stronger ability to find the optimal value, but also more stable, reliable and with fast convergence, indicating the effectiveness of the algorithm.
