Intelligent expert systems for recognising unknown chemical radicals
Joint Authors
al-Harbi, A. A.
Suwaydan, D. M.
al-Najjar, E.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 7, Issue 1 (31 Jan. 2007)11 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2007-01-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This paper aims to design three expert systems for recognizing Unknown Chemical Radical (UCR).
In addition, it determines how to measure an Intelligence Ratio (IR) for each system.
The IR depends on Processing Time (PT) that is one of Natural Intelligence (NI) factors.
The systems are designed to work in a systematic and efficient way.
The third system was the best and the fastest one, as it can extend its Knowledge Base (KB) and have the ability to apply the required experiments without redundancy.
American Psychological Association (APA)
al-Harbi, A. A.& al-Najjar, E.& Suwaydan, D. M.. 2007. Intelligent expert systems for recognising unknown chemical radicals. International Journal of Intelligent Computing and Information Sciences،Vol. 7, no. 1.
https://search.emarefa.net/detail/BIM-285144
Modern Language Association (MLA)
al-Harbi, A. A.…[et al.]. Intelligent expert systems for recognising unknown chemical radicals. International Journal of Intelligent Computing and Information Sciences Vol. 7, no. 1 (Jan. 2007).
https://search.emarefa.net/detail/BIM-285144
American Medical Association (AMA)
al-Harbi, A. A.& al-Najjar, E.& Suwaydan, D. M.. Intelligent expert systems for recognising unknown chemical radicals. International Journal of Intelligent Computing and Information Sciences. 2007. Vol. 7, no. 1.
https://search.emarefa.net/detail/BIM-285144
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-285144
