(3 units). Neuro-fuzzy and soft computing. Fuzzy set theory: rules, reasoning and inference systems. Regression and optimization; derivative-based optimization - genetic algorithms, simulated annealing, downhill simplex search. Neural Networks: adaptive networks; bidirectional associative memories; supervised and unsupervised learning; learning from enforcement. Applications: neuro-fuzzy modelling and control, pattern recognition. Courses ELG 5386, MCG 5356 (MECH 5506) cannot be combined for units. This course is equivalent to EACJ 5386 at Carleton University. Course Component: Lecture Exclusion: MCG 5356 (MECH5506).
(3 units). Neuro-fuzzy and soft computing. Fuzzy set theory: rules, reasoning and inference systems. Regression and optimization; derivative-based optimization - genetic algorithms, simulated annealing, downhill simplex search. Neural Networks: adaptive networks; bidirectional associative memories; supervised and unsupervised learning; learning from enforcement. Applications: neuro-fuzzy modelling and control, pattern recognition. Courses ELG 5386, MCG 5356 (MECH 5506) cannot be combined for units. This course is equivalent to EACJ 5386 at Carleton University. Course Component: Lecture Exclusion: MCG 5356 (MECH5506).
