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Course Descriptions

The mechanical engineering curriculum is designed to prepare students for productive careers in industry, government, education and private consulting as well as for graduate study. Thus, it is based on the fundamental principles of science and engineering. These provide a strong foundation that enables students to apply what they have learned to the complex technological problems of today and to teach themselves the new technologies of tomorrow.

ME 536 - Computational Intelligence in Control Engineering

  • Credit Hours: 4R-0L-4C
  • Term Available: See Department
  • Graduate Studies Eligible: Yes
  • Prerequisites: ME 406 or equivalent, or consent of instructor
  • Corequisites: None

Machine learning and adaptation applied to feedback control, guidance and navigation. Neural Networks for pattern recognition, modeling and control. Radial basis function model identification by recursive least squares. Fuzzy logic controllers. Genetic algorithm for optimization and turning of controllers including fuzzy logic control.

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