EENG 5319 Neural Networks

Introduction to nonlinear networks for regression/approximation, classification, and clustering. Statistical learning theory and support vector machines. First and second order training algorithms and their properties. Methods for evaluating network performance. Applications in classification, estimation and forecasting.

Prerequisite

COSC 1336 – Programming Fundamentals and MATH 3203 – Matrix Methods and EENG 4311 – Signals and Systems