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基于事例推理系统的开发工具CTL 被引量：1

CTL: A CASE BASED REASONING SYSTEM DEVELOPMENT SHELL
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摘要 ＣＢＲ（基于事例的推理）是当前国际人工智能领域的研究热点之一．近年来，ＣＢＲ 系统开发工具的研究和开发正方兴未艾．我们在微机平台上用Ｂｏｒｌａｎｄ ｃ＋ ＋ Ｂｕｉｌｄｅｒ 完成了一个ＣＢＲ 系统开发工具 —ＣＴＬ．本文介绍了ＣＴＬ的设计思想及主要模块的功能。 Case Based Reasoning has been an important subject among AI researchers for several years. Recently, a lot of works have done on the CBR development shells. This paper introduces the design and implementation of a CBR development shell CTL which is designed by using Borland c++ Builder under Windows 95. At the last part of the paper, CTL is compared with other popular commercial CBR development shells.
作者 赵强利 徐明
机构地区 国防科技大学并行与分布处理国家重点实验室
出处 《小型微型计算机系统》 CSCD 北大核心 1999年第11期837-841,共5页 Journal of Chinese Computer Systems
基金 国防科技大学校预研基金
关键词 开发工具 CTL 事例推理系统 人工智能 Case Based reasoning CBR development shell Relational database
分类号 TP311.56 [自动化与计算机技术—计算机软件与理论] TP18 [自动化与计算机技术—控制理论与控制工程]
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  • 1Jay J Jiang,David W. Conrath. Semantic similarity based on cor-pus statistics and lexical taxonomy [C]//In Proceedings of Inter-national Conference on Re-search in Computational Linguistics,Taiwan,1997:1-15.
  • 2Rui P. Semantic methods supporting engineering design in-nova-tion [J]. Advanced Engineering Informatics,2011,25:185-192.
  • 3Li Y,Bandar Z,McLean D. An approach for measuring se-manticsimilarity between words using multiple information sources [J].IEEE Trans. Knowl&Data Engineering,2003,15(4);871-882.
  • 4Zhou Z,Wang Y,Gu J. A new model of information content for se-mantic similarity in WordNet [C]//in Proc. of Second In-tema-tional Conference on Future Generation communication and Networ-king Symposia,FGCNS 2008,IEEE Computer Society,Sanya,Hainan Island,China,2008:85-89.
  • 5Ji H,Yang M C,Honda T. A probabilistic approach for extra-tiondesign preferences from design team discussion [C]// In Proceed-ings of the ASME,Inter-national Design Engineer-ing TechnicalConference & Computer and Information in Engineering Confer-ence,September 4-7,2007. Las Vegas,Nevada,USA. NewYork,ASME,2007:17-38.
  • 6Gao J J,Deng G S. The research of appapplying domain on-tology tocase-based reasoning system [C] //In Proceedings of InternationalConference on Services Systems and Services Management,Bei-jing,2005:1113.
  • 7Garrido J L,Hurtado M V,Noguera M. Using a CBR approa-chbased on Ontologies for Recommendation and reuse of knowledgesharing in decision making [C] //8th International Conference onHybrid Intel-ligent Systems,New York:IEEE,2008:837-842.
  • 8Guo Y,Hu J,Peng Y H. Research on CBR system based on datamining [J]. Applied Soft Computing,2011,(11):5006-5014.
  • 9Guo Y,Hu J,Peng Y H. A CBR system for injection mould designbased on ontology:a case study [J]. Computer-aided design,2012,(6):496-508.
  • 10Gu C O,Hu J,Peng Y H. Functional case modelling for knowl-edge-driven conceptual design[J]. Pro ceedings of the Institutionof Mechanical Engineers,Part B:Journal of Engineering Manufac-ture,2012,226(4):757-773.

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小型微型计算机系统
1999年 第11期

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