Deterministic Learning Theory for Identification, Control, and Recognition

This book provides systematic design approaches for the identification, control, and recognition of nonlinear systems in uncertain environments. It introduces the concepts of deterministic learning theory, discusses RBF networks, describes the conceptual theory of deterministic learning processes, and addresses closed-loop feedback control processes. It also presents applications to fault detection, ECG/EEG pattern recognition, and security analysis.Hill, David J. is the author of 'Deterministic Learning Theory for Identification, Control, and Recognition ', published 2008 under ISBN 9780849375538 and ISBN 0849375533.