Maintenance of a case-base for the retrieval of rotationally symmetric shapes for the design of metal castings
Mileman, Tony, Knight, Brian, Petridis, Miltos, Preddy, Keith and Mejasson, Patrick (2000) Maintenance of a case-base for the retrieval of rotationally symmetric shapes for the design of metal castings. In: Blanzieri, Enrico and Portinale, Luigi, (eds.) Advances in Case-Based Reasoning: 5th European Workshop, EWCBR 2000 Trento, Italy, September 6–9, 2000 Proceedings. Lecture Notes in Computer Science: Lecture Notes in Artificial Intelligence (1898). Springer Berlin Heidelberg, Berlin, Heidelberg, Germany, pp. 418-430. ISBN 9783540679332 ISSN 0302-9743 (doi:10.1007/3-540-44527-7_36)
Full text not available from this repository.Abstract
In this paper, we discuss the problem of maintenance of a CBR system for retrieval of rotationally symmetric shapes. The special feature of this system is that similarity is derived primarily from graph matching algorithms. The special problem of such a system is that it does not operate on search indices that may be derived from single cases and then used for visualisation and principle component analyses. Rather, the system is built on a similarity metric defined directly over pairs of cases. The problems of efficiency, consistency, redundancy, completeness and correctness are discussed for such a system. Performance measures for the CBR system are given, and the results for trials of the system are presented. The competence of the current case-base is discussed, with reference to a representation of cases as points in an n-dimensional feature space, and a Gramian visualisation. A refinement of the case base is performed as a result of the competence analysis and the performance of the case-base before and after refinement is compared.
Item Type: | Book Section |
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Additional Information: | [1] This paper was first presented at Advances in Case-Based Reasoning: 5th European Workshop on Case-Based Reasoning, (EWCBR 2000) held from 6–9 September 2000 in Trento, Italy, [2] ISBN: 9783540679332 (Print); 9783540445272 (Online). [3] Series ISSN: 0302-9743. |
Uncontrolled Keywords: | artificial intelligence (incl. robotics), industry sectors, electronics, telecommunications, IT & software |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Science |
Related URLs: | |
Last Modified: | 14 Oct 2016 09:00 |
URI: | http://gala.gre.ac.uk/id/eprint/475 |
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