Neural Network Modeling and Identification of Dynamical Systems (Paperback)

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	May 2019
First published:	2019
Authors:	Yuri Tiumentsev • Mikhail Egorchev
Dimensions:	235 x 191 x 24mm (L x W x T)
Format:	Paperback
Pages:	332
ISBN-13:	978-0-12-815254-6
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	0-12-815254-0
Barcode:	9780128152546

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