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Zasady automatycznego pozyskiwania regułowych baz wiedzy dla systemów ekspertowych

Trojczak-Golonka P., Milewski S.

TTS Technika Transportu Szynowego

2013

R. 20, nr 10

3117--3126

W artykule zaprezentowano zalety i wady regułowej reprezentacji bazy wiedzy oraz podstawowe klasy metod jej indukcji maszynowej. Wskazano problemy towarzyszące temu procesowi jak również pokazano na przykładach praktyki i obszary zastosowań regułowych baz wiedzy.

In the paper the advantages and disadvantages of rules-based representation of the knowledge base and the basic class methods of machine induction were presented. There are shown the problems related to such process, the application examples and using areas rule-based knowledge bases.

Moduł ekspertyz w multimedialnym atlasie wad laminatów

Jaszczak S., Gorący K., Pankanin W.

Metody Informatyki Stosowanej

2008

nr 1 (Tom 13)

47-58

Modern database systems connected with an Internet administration panel in www browser are an excellent tool for collecting and ordering an expert knowledge. A knowledge acquisition process is the most, time consuming stage in the procedure of creating a new rule expert system and usually demands many repetitions and arrangements between a knowledge engineer and an expert engineer from a specific area. Authors of this article, are interested in an expert knowledge related to failures of composites materials, that are popular materials used in the production of many articles used in everyday life. Data about composites failures stored in the SQL database systems were converted into the txt file i.e. rules and facts database for the JESS reasoning machine. JESS is a modification of the CLIPS language and gives an knowledge engineer opportunity to do expert system xuith elements of JAVA language. In this article was presented a construction of the rules and fads generator and a way of integration it with a www application named the Multimedia Atlas of Composites Failures.

Rule based expert system for hospital infection diagnosis

Śnieżyński B., Valenta M., Zygmunt A.

Journal of Medical Informatics & Technologies

2000

Vol. 1

CS 9--14

Nowadays, hospital infection diagnosis is a serious problem. The paper deals with expert system for this task. Presented system helps to recognise 12 infection types. It is created using rule based expert system shell Consus. At this paper choice of knowledge representation is mentioned. System architecture is presented, domain knowledge and inference process are characterised.