CS4314 - Intelligent Systems Analysis

CS 4314 Intelligent Systems Analysis (3 semester credit hours) Convergence analysis of the behavior of nonlinear high-dimensional deterministic and stochastic dynamical systems which are widely used in the fields of machine learning and artificial neural network modeling. Topics include: artificial neural network architectures, Lyapunov stability theory, nonlinear optimization theory, stochastic approximation theory, and Monte Carlo Markov Chain (MCMC) algorithms. Prerequisites: (STAT 3341 or equivalent) and MATH 2418 and MATH 2419. (Same as CGS 4314) (3-0) T