E Book

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models



Introduction -- Neural network Wiener models -- Neural network Hammerstein models -- Polynomial Wiener models -- Polynomial Hammerstein models -- Applications.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.


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Informasi Detil

Judul Seri
-
No. Panggil
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Penerbit Springer : Berlin, Heidelberg.,
Deskripsi Fisik
XIV, 199 p.online resource.
Bahasa
English
ISBN/ISSN
9783540315964
Klasifikasi
629.8
Tipe Isi
-

Informasi Lainnya

Anak judul
A Block-Oriented Approach
Judul asli
-
DOI/URL
https://doi.org/10.1007/b98334

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