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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

A Rule-Based Expert System for Mineral Identification

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Author Folorunso, I. O. , Abikoye, O. C., Jimoh, R. G. , Raji, K.S
ISSN 2079-8407
On Pages 205-210
Volume No. 3
Issue No. 2
Issue Date February 01, 2012
Publishing Date February 01, 2012
Keywords knowledge-driven, ICT, Expert System, AI, Rule-based


Abstract

The emerging knowledge-driven dictate of the economy has no boundary. The use of Information and Communication Technology (ICT) has enhanced applications of knowledge-based expert system. The idea is that human expert is programmed into the machine in form of an Artificial Intelligence (AI). This work involves the use of expert system in mineral identification. The design and implementation of the expert system is based on the physical characteristic of the forty minerals involved in this study as the knowledge domain. The inference engine is rule-based as suggested to be better by previous researchers. Visual Basic is used for the implementation while Microsoft Access is used for creating the database.  

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