An approach to expert systems for image processing software libraries
Felix Grimm,
Horst Bunke and
Jürg Hählen
Mathematics and Computers in Simulation (MATCOM), 1994, vol. 36, issue 4, 303-313
Abstract:
Large scientific software libraries are used in various application areas in order to reduce the scientists' programming work. However, the application of software packages is not always easy and often requires profound knowledge about the application domain and the package. Expert systems can be used to support less experienced users of software libraries. This paper presents a general approach to the construction of such expert systems and describes two prototype systems for the application of the SPIDER and GIPSY image processing packages. The central idea of our approach lies in the subdivision of the knowledge base into three parts containing knowledge about the use of software packages in general, image processing, and the actually applied software package, respectively.
Date: 1994
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0378475494900655
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:36:y:1994:i:4:p:303-313
DOI: 10.1016/0378-4754(94)90065-5
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().