Course Information
Designation: Elective Course
Course Level: Graduate
Prerequisites
Prerequisite Courses:
Catalog Description:
Fundamental concept of neural computation. Main neural network models. Perceptions and back-propagation, Hopfield and feedback models. Fault-tolerance in neural
networks. Parallel processing in neural networks. Potential and limitations of neural networks. Applications of neural computing. Project(s).
