ECEG40363 — Neural Networks & Adaptive Systems
Add to Bookmarks Three hours lecture. Three credit hours. Theoretical concepts of neural and adaptive systems. Topics include introduction to artificial neural networks, adaptive filter theory, LMS and RLS algorithms, stability and convergence, network architectures, learning methods, back propagation, feedforward and recurrent networks, convolutional networks, and time-series forecasting. Students with credit for ECEG 40363 cannot take ECEG 50363 for credit. Dual listed in the Graduate Catalog as ECEG 50363
Prerequisites: MATH31263