HJWC  >> Vol. 3 No. 5 (October 2013)

    基于VC++6.0和数据库的案例推理认知引擎
    Cognitive Engine of Case-Based Reasoning Based on VC ++ 6.0 and SQL

  • 全文下载: PDF(416KB) HTML    PP.110-114   DOI: 10.12677/HJWC.2013.35017  
  • 下载量: 2,473  浏览量: 8,636   科研立项经费支持

作者:  

武国平,沈 雷,刘 源,张璐苹:杭州电子科级大学通信工程学院

关键词:
VC++SQL 2008案例推理认识无线电VC++; SQL 2008; Case-Based Reasoning; Cognitive Radio

摘要:

针对基于案例推理的动态资源分配的实际应用问题,本文利用SQL2008数据库存储案例、多目标优化结果以及效益函数,在MFC界面上动态显示优化过程。VC++6.0选用ADO数据库访问技术访问SQL2008数据库,对案例子库的数据进行遍历,选择与环境子库中最为匹配的执行方案,执行优化算法,最后将优化后的参数配置送至数据库输出模块,同效用值一起更新案例子库。实践证明本方案灵活有效,可以动态选择优化算法,进行案例更新、优化过程,成功地实现了认知无线电资源动态分配的问题。

 

This paper aims to use the cases of SQL 2008 database storage, multi-objective optimization results and eco- nomic benefit of functions, to solve the application problems of dynamic resource allocation based on case-based rea- soning with optimization process displayed dynamically in MFC interface. VC++6.0 visit SQL2008 database by ADO database access technology, go through the date in case database, choose the execution plan most matching with envi- ronmental database, implement the optimization algorithm, sent the optimized parameters configuration to database output module, and finally update case database by optimized parameters and utility value. Practice shows that this scheme is effective because it can select optimization algorithm dynamically, conduct case update and optimization pro- cedure and it leads to the dynamic resource allocation of cognitive radio.

文章引用:
武国平, 沈雷, 刘源, 张璐苹. 基于VC++6.0和数据库的案例推理认知引擎[J]. 无线通信, 2013, 3(5): 110-114. http://dx.doi.org/10.12677/HJWC.2013.35017

参考文献

[1] Federal Communications Commission. Spectrum policy task force report. ET Docket, 2002, 02-135.
[2] R. C. Schank. Dynamic memory: A theory of reminding and learning in computers and people. New York: Cambridge Uni- versity Press, 1982.
[3] D. Sun, B. Zheng. A novel multi-user low complexity bit allocation algorithm in cognitive OFDM networks based on AM-GM inequality. IET 3rd International Conference on Wireless, Mobile and Multimedia Networks (ICWMNN 2010), 2010: 217- 220.
[4] A. Narayanan, M. Moore. Quantum-inspired genetic algoruthms. Proceedings of IEEE International Conference on Evolutionary Computation, 1996: 61-66.
[5] J. Kennedy, R. C. Eberhart. A discrete binary version of the particle swarm algorithm. IEEE International Conference on Evolutionary Computation, 1998: 84-88.
[6] 康会光, 马海军. SQL Server 2008中文版标准教程[M]. 北京:清华大学出版社, 2009.
[7] S. B. Lippman, J. La Joie and B. E. Moo. C++Primer[M]. 北京: 人民邮电出版社, 2006.