Juš Kocijan (Author), Juš Kocijan (Translator)

Abstract

Modelling Dynamic Systems with Artificial Neural Networks and Related Methods can be used as a textbook for the field it covers or as an introductory textbook for more advanced literature in the field. The textbook comprises introduction to artificial neural networks, identification of linear and nonlinear dynamic systems, control with artificial neural networks, local-model networks and blended multiple-model systems, design of gain-scheduling control and identification of nonlinear systems with Gaussian processes. It is intended for undergraduate students, especially at the postgraduate level, who have sufficient knowledge in dynamic systems, as well as for professionals who wish to familiarise themselves with the concepts and views described. The textbook is not intended to be a detailed theoretically based description of the subject, but rather an overview of the field of identification of dynamic systems with neural networks and related methods from the perspective of systems theory and, in particular, its application. The work is intended to inform the reader about the views on this subject, which are related but treated very differently.

Keywords

umetne nevronske mreže;

Data

Language: English
Year of publishing:
Typology: 2.03 - Reviewed University, Higher Education or Higher Vocational Education Textbook
Organization: UNG - University of Nova Gorica
Publisher: University of Nova Gorica Press
UDC: 681.5.033:004.032.26(075.8)(0.034.2)
COBISS: 140589315 Link will open in a new window
ISBN: 978-961-7025-29-3
Views: 277
Downloads: 15
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary keywords: Dinamični sistemi;Učbeniki za visoke šole;Modeliranje;Nevronske mreže;
URN: URN:SI:UNG
Type (COBISS): Higher education textbook
Pages: 1 spletni vir (1 datoteka PDF (4, 89 str.))
ID: 18149295