TY  - BOOK
AU  - Janczak,Andrzej
ED  - SpringerLink (Online service)
TI  - Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach 
T2  - Lecture Notes in Control and Information Science,
SN  - 9783540315964
PY  - 2005///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Systems theory
KW  - Physics
KW  - Vibration
KW  - Control Engineering
KW  - Vibration, Dynamical Systems, Control
KW  - Systems Theory, Control
KW  - Complexity
N1  - Introduction -- Neural network Wiener models -- Neural network Hammerstein models -- Polynomial Wiener models -- Polynomial Hammerstein models -- Applications
N2  - This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models" is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory
UR  - http://dx.doi.org/10.1007/b98334
ER  -