ENEE 752: Computational Intelligence Knowledge Engineering

Course Prerequisites:

Graduate standing.

Topic Prerequisites:

Course Goals:

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.

Textbooks:

  1. A. V. Gonzalez and D. D. Dankel, "The Engineering of Knowledge-Based Systems", Prentice Hall, 1993.
  2. M. H. Hassoun, "Fundamentals of Artificial Neural Networks", The MIT Press, 1995.

References:

  1. P. Beynon-Davies, "Expert Database Systems", McGraw-Hill, 1991.
  2. J-S. R. Jang, et al., "Neurofuzzy and Soft Computing", Prentice Hall, 1997.

Core Topics:

  1. Overview of relational databases; intelligent database management anddata processing; relational databases coupled to expert systems; design, utilization and evaluation.
  2. Overview of reasoning techniques; knowledge representation and acquisition; algorithms, expertise and heuristics . and designs; evaluation.
  3. Machine learning systems for pattern and feature extraction; neural network models; survey of practical designs; evaluation.
  4. Automating hypothesis formation and evaluation; generalization; feature space and knowledge approximation.
  5. Neural networks as expert systems; composite neural networks; coupling neural networks and expert systems.
  6. Geometry of fuzzy sets; counting with fuzzy sets, fuzzy logic; fuzzysystem implementations.
  7. Hardware-Software considerations for diagnosis, risk analysis, decision support
  8. Selected application examples.

Optional Topics:

  1. Qualitative reasoning~
  2. Demster-Shafer statistical reasoning
  3. Genetic Algorithms

Comments:

  • 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.

Last Updated:

July 1997 by Professor Nicholas DeClaris