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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach

Identification of Nonlinear Systems Using Neural Networks and Polynomial Models: A Block-Oriented Approach

Janczak, Andrzej

Paperback

Series: Lecture Notes in Control and Information Sciences, Book 310

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3540231854
ISBN13: 9783540231851
Publisher: Springer Nature
Published: Nov 18 2004
Pages: 199
Weight: 1.15
Height: 0.46 Width: 8.50 Depth: 11.00
Language: English

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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