Neural networks for modelling and control of dynamic systems

By M. Norgaard, O. Ravn, N.K. Poulsen, L.K. Hansen, Magnus Nørgaard

Subjects: Computers - General Information, Neural Networks, Neural networks (Computer scie, Computers / Neural Networks, Automatic control engineering, Automatic control, Computer simulation, System Identification, Computers / Computer Simulation, Computers, Neural networks (computer science), Computers-Networking - General, Science/Mathematics, Nonlinear theories, Computer Engineering, Control, Networking - General, Neural networks (Computer science), Neural Computing

Description: "This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perception, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations." "The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component."--Jacket.