Course Number:

Credit Hours:

4

Course Title:

Expert Systems and Neural Networks

Course Description:

Covers the theory and applications of expert systems and neural networks in engineering. Topics include knowledge representation (semantic networks, frames, production rules, and logic systems), problem-solving methods (heuristic search algorithms, forward and backward chaining, constraint handling, truth, and maintenance), approximate reasoning methods (Bayesian, Dempster-Shafer, fuzzy logic, and certainty factors), and expert system shells. Reviews background material on important neural network architectures such as feed-forward neural networks, Kohonen’s feature maps, radial basis function networks, and adaptive resonance theory networks. Discusses neural network applications in several areas including group technology; part family formation; manufacturing systems design, process, and machine tool monitoring and diagnosis; system identification and control; and product inspection.