Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi

Expert Systems are computer programs that use artificial intelligence to solve problems within a specialized domain that ordinarily requires human expertise. A very important aspect of helping mycologist with diagnosis of the mushroom health effects is the identification itself by using only the vi...

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書目詳細資料
主要作者: Nur Fuhaizah, Mohammad Fawzi
格式: Thesis
出版: 2004
主題:
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author Nur Fuhaizah, Mohammad Fawzi
author_facet Nur Fuhaizah, Mohammad Fawzi
author_sort Nur Fuhaizah, Mohammad Fawzi
description Expert Systems are computer programs that use artificial intelligence to solve problems within a specialized domain that ordinarily requires human expertise. A very important aspect of helping mycologist with diagnosis of the mushroom health effects is the identification itself by using only the visible feature of the mushroom. Their identification, although very important, is often difficult. This thesis addresses this problem by providing an expert system that takes into consideration various factors about the mushroom, and presents identification as a possible solution. In order to achieve the purpose, the system uses Prolog, a logic programming. In this paper, chapter one outlines the introduction of the system. Chapter two describes the literature review. Chapter three discusses more details methodology. System analysis is described in chapter four. Chapter five describes the system design. Implementations are shown in chapter six and testing in chapter seven. Finally, chapter eight gives the conclusion.
format Thesis
id oai:studentsrepo.um.edu.my:10003
institution Universiti Malaya
publishDate 2004
record_format eprints
spelling oai:studentsrepo.um.edu.my:100032021-07-08T05:45:58Z Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi Nur Fuhaizah, Mohammad Fawzi QA75 Electronic computers. Computer science QA76 Computer software Expert Systems are computer programs that use artificial intelligence to solve problems within a specialized domain that ordinarily requires human expertise. A very important aspect of helping mycologist with diagnosis of the mushroom health effects is the identification itself by using only the visible feature of the mushroom. Their identification, although very important, is often difficult. This thesis addresses this problem by providing an expert system that takes into consideration various factors about the mushroom, and presents identification as a possible solution. In order to achieve the purpose, the system uses Prolog, a logic programming. In this paper, chapter one outlines the introduction of the system. Chapter two describes the literature review. Chapter three discusses more details methodology. System analysis is described in chapter four. Chapter five describes the system design. Implementations are shown in chapter six and testing in chapter seven. Finally, chapter eight gives the conclusion. 2004 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/10003/1/Nur_Fuhaizah_Mohammad_Fawzi.pdf Nur Fuhaizah, Mohammad Fawzi (2004) Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi. Undergraduates thesis, University of Malaya. http://studentsrepo.um.edu.my/10003/
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Nur Fuhaizah, Mohammad Fawzi
Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi
title Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi
title_full Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi
title_fullStr Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi
title_full_unstemmed Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi
title_short Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi
title_sort expert system mushroom species nur fuhaizah mohammad fawzi
topic QA75 Electronic computers. Computer science
QA76 Computer software
url-record http://studentsrepo.um.edu.my/10003/
work_keys_str_mv AT nurfuhaizahmohammadfawzi expertsystemmushroomspeciesnurfuhaizahmohammadfawzi