ENEE 752: Computational Intelligence Knowledge Engineering
To study the principles, applications and design techniques of an emerging
engineering approach that involves the integration of four methodologies: a)
intelligent database management systems b) rule-based systems,
c) neural networks and d) fuzzy systems for heuristic problem solving,
diagnostics and decision support.
- A. V. Gonzalez and D. D. Dankel,
"The Engineering of Knowledge-Based Systems", Prentice Hall, 1993.
- M. H. Hassoun, "Fundamentals of Artificial Neural Networks",
The MIT Press, 1995.
- P. Beynon-Davies, "Expert Database Systems", McGraw-Hill, 1991.
- J-S. R. Jang, et al., "Neurofuzzy and Soft Computing", Prentice Hall, 1997.
- Overview of relational databases; intelligent database management anddata processing; relational databases coupled to expert systems; design, utilization
- Overview of reasoning techniques; knowledge representation and
acquisition; algorithms, expertise and heuristics .
and designs; evaluation.
- Machine learning systems for pattern and feature extraction; neural
network models; survey of practical designs; evaluation.
- Automating hypothesis formation and evaluation; generalization; feature
space and knowledge approximation.
- Neural networks as expert systems; composite neural networks; coupling
neural networks and expert systems.
- Geometry of fuzzy sets; counting with fuzzy sets, fuzzy logic; fuzzysystem implementations.
- Hardware-Software considerations for diagnosis, risk analysis, decision
- Selected application examples.
- Qualitative reasoning~
- Demster-Shafer statistical reasoning
- Genetic Algorithms
- The student is expected to acquire basic working knowledge (in
at least two methodologies introduced in the lectures)
via reading assignments, homework and by completing a term project involving
their integration in a specific domain application. One or two project
progress reports will be required during the semester and a final written
report is due on the Final Exam week in lieu of the Examination.
- Students in this course with the approval of the instructor can fabricate,
as part of their term project, VLSI chips via MOSIS.
July 1997 by Professor