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
None