Artificial intelligence rule-based expert system

C. Rojas-Guzman and M.A. Kramer. Comparison of belief networks and rule-based expert systems for fault diagnosis of chemical processes. Engineering Application of Artificial Intelligence, 6 191, 1993. 

The ANN is an artificial intelligent technique that has several distinct advantages over rule-based Expert System and Fuzzy Logic. The technique has been shown to be a feasible technique that estimates the material properties for the FGM design. The estimation accuracy is satisfactory. 

Technology is one of many trends constantly affecting computer validation. One area requiring special attention is the introduction of expert systems into the FDA-regulated environment. The simplest form of artificial intelligence generally used in applications (such as mortgages, credit card authorization, fraud detection, e-commerce, personalization) is the rule-based system, also known as the expert system (ES). 

Expert systems fall within the broad computer discipline known as artificial intelligence. They have two essential components - a collection of information about their field of expertise, and a structure for applying that information to the problem at hand. The first component is often referred to as the knowledge or rule base of the system and the second as the inference engine. 

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