Title :
AMRS: a prototype of an analytical method recommendation system
Author :
Maloof, Marcus A.
Author_Institution :
Artificial Intelligence Programs, Georgia Univ., Athens, GA, USA
Abstract :
A promising application of knowledge-based systems is that of prescribing the most appropriate analytical method for a given situation. The Analytical Method Recommendation System (AMRS) services an entire laboratory containing several analytical instruments. It assists the inexperienced analytical chemist and permits technicians to become more independent from managing chemists. AMRS presently exists as an early prototype. The author discusses the knowledge acquisition methodology and design issues. Brief descriptions of current system performance and future directions are included
Keywords :
chemical analysis; chemistry computing; expert systems; knowledge acquisition; Analytical Method Recommendation System; analytical method recommendation system; knowledge acquisition methodology; knowledge-based systems; Chemical analysis; Design methodology; Electrostatic precipitators; Expert systems; Information analysis; Instruments; Knowledge acquisition; Knowledge based systems; Performance analysis; Prototypes;
Conference_Titel :
Southeastcon '92, Proceedings., IEEE
Conference_Location :
Birmingham, AL
Print_ISBN :
0-7803-0494-2
DOI :
10.1109/SECON.1992.202397
