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基于归纳技术的范例推理及其应用 被引量：2

Case-based Reasoning Based on Induction Technology and Its Application
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摘要 首先研究了可以与范例推理相结合的多种技术，并着重研究了基于范例推理和归纳技术的集成方法，以充分利用范例推理和归纳技术的各自优势，提高求解问题的能力。该文提出了一个基于归纳技术的范例推理分类算法，实验证明了此算法有着良好的分类准确率。 The paper firstly researches several methods integrated with CBR. In order to use their respective strong points , the method based on CBR and induction technique are researched especially to heighten the efficiency of classification-solving. The experiments show that the method has got a better accuracy rate of classification.
作者 贾瑞玉 倪志伟
机构地区 计算智能与信号处理国家教育部重点实验室
出处 《计算机工程》 CAS CSCD 北大核心 2003年第12期45-47,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60075015) 安徽省教育厅自然科学基金资助项目
关键词 基于范例的推理 范例检索 归纳 分类 Case-based reasoning Case retrieval Induction Classification
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献6

  • 1Aha D W, Watson I,Case-based Reasoning Research and Development,In: Proceedings of ICCBR'2001,Springer,2001.
  • 2Lin Chuang.Logical Inference of Horn Clauses in Petri Net Models.IEEE Trans. on Knowledge and Data Engineering,1993,5(3):416-425.
  • 3Myllymaki P.Tirri H.Massively Parallel Case-based Reasoning with Probabilistic Similarity Metrics.In:Proceedings of the First European Workshop on CBR,Springer, 1993- 11 : 145-154.
  • 4Clark P.Machine Learning:Techniques and Recent Development.Artificial Intelligence:Concepts and Applications in Engineering,London,Chapman and Hall, 1990.
  • 5Skalak D B,Rissland E L.Inductive Learning in a Mixed Paradigm Setting. Proceedings of AAAI-90.1990:840-847.
  • 6Clark P, Boswell R.Rule Induction with CN2:Some Recent Improvements.In:Proceedings of European Working Session Learoing, Porto, Portugal, 1991 : 151 - 163.

同被引文献13

  • 1郑浩森,汤胤,彭宏,郑启伦.范例的代数结构及其相似度量的研究[J].计算机工程与应用,2006,42(4):65-67. 被引量：1
  • 2Aha D W,Watson I.Case--based reasoning research and development[C]//Proceedings of ICCBR'2001.[S.l.]:Springer,2001.
  • 3Aha D W.The omnipresence of case-based reasoning in science and application[J].Knowledge-Based Systems, 1998,11(5/6) :261-273.
  • 4Dvir G,Langholz G, Schneider M.Matching attributes in a fuzzy case-based reasoning[C]//Proc of the 18th International Conference of the North American Fuzzy Information Processing Society,New York, 1999:33-36.
  • 5刘大友.基于事例的推理系统[M].北京:清华大学出版社,2000.313-338.
  • 6Chi R T H. An integrated approach of ruled - based and case -based reasoning for decision support [M]. Leipzig, Germany:ACM, 1991.255 - 267.
  • 7Fdez- Riverola F, Corchado J M. CBR based system for forecasting red tides[J]. Knowledge- Based Systems, 2003, 20 (6) :321 - 328.
  • 8Jantke K P. Case - Based Learning in Inductive Inference[M]. Leipzig, Germany: ACM, 1992.218 - 223.
  • 9Chen Wei - Chou, Yang Ming - Chun, Tseng Shian - Shyong.the Bitmap - Based Feature Selection Method [ M ]. Melbourne, USA: SAC, 2003.
  • 10史忠植.知识发现[M].北京:清华大学出版社,2001..

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计算机工程
2003年 第12期

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