Neural networks for modelling and control of dynamic systems
a practitioner's handbook
By Magnus Nørgaard, M. Norgaard, O. Ravn, N.K. Poulsen and L.K. Hansen
"Neural networks for modelling and control of dynamic systems" is published by Springer in 2000 - Berlin, it has 246 pages and the language of the book is English.
“Neural networks for modelling and control of dynamic systems” Metadata:
- Title: ➤ Neural networks for modelling and control of dynamic systems
- Authors: Magnus NørgaardM. NorgaardO. RavnN.K. PoulsenL.K. Hansen
- Language: English
- Number of Pages: 246
- Publisher: Springer
- Publish Date: 2000
- Publish Location: Berlin
“Neural networks for modelling and control of dynamic systems” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Nonlinear theories - Computer simulation - Automatic control - Automatic control engineering - Neural Networks - Computers - General Information - Neural Computing - Science/Mathematics - Computers - Neural networks (Computer scie - Networking - General - Computers / Computer Simulation - Computers / Neural Networks - Computers-Networking - General - Control - System Identification - Computer Engineering
Edition Specifications:
- Pagination: xiv, 246 p. :
Edition Identifiers:
- The Open Library ID: OL48374M - OL18306464W
- Online Computer Library Center (OCLC) ID: 52372783 - 42578599
- Library of Congress Control Number (LCCN): 99049801
- ISBN-10: 1852332271
- All ISBNs: 1852332271
AI-generated Review of “Neural networks for modelling and control of dynamic systems”:
"Neural networks for modelling and control of dynamic systems" Description:
The Open Library:
"This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perception, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations." "The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component."--Jacket.
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