Neural Network Modeling and Identification of Dynamical Systems

Book Neural Network Modeling and Identification of Dynamical Systems Cover

Download or read online Neural Network Modeling and Identification of Dynamical Systems PDF book by Yuri Tiumentsev in ePUB, PDF or Kindle eBooks. Published by Academic Press in 17 May 2019 the book become immediate popular and critical acclaim in Science books with total hardcover page 332. Click Download Book button to get book file. Read some info about this book below.

  • Author : Yuri Tiumentsev
  • Publisher : Academic Press
  • Release : 17 May 2019
  • ISBN : 9780128154304
  • Page : 332 pages
  • Language : English
  • Total View : 3530 Views
  • File Size : 45,5 Mb

Neural Network Modeling and Identification of Dynamical Systems Book PDF summary

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. Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training Offers application examples of dynamic neural network technologies, primarily related to aircraft Provides an overview of recent achievements and future needs in this area

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