EE 627 Neural Networks and Bioinformatics
Introduces basic concepts of neural networks using the general
framework of parallel distributed processing. Deals with
architecture, principles of operation, training algorithms and
applications of a number of neural networks. Emphasizes
designing networks from first principles to solve engineering
problems. Application of neural networks to several engineering
problems, including pattern classification, data and image
compression, robotics, target tracking, and signal processing.