This course introduces the basic theory of fuzzy sets and fuzzy logic, fuzzy systems, neural networks and neuro-fuzzy systems. Topics in Fuzzy Systems include: fuzzy sets and their operations, membership functions, fuzzy systems of various types, fuzzy control, and fuzzy clustering. Topics in Artificial Neural Networks include: artificial neural networks, the backpropagation algorithm, deep learning, adaptive neuro-fuzzy inference systems. Additional topics may include parameter selection and regularization for neural networks, and convolutional neural networks.
Prerequisites
MAT 258
Notes
Credit may be received for one of MAT 362 and MAT 367, but not both