Cyber-Physical Systems: Intelligent Models and Algorithms

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Details

This book is devoted to intelligent models and algorithms as the core components of cyber-physical systems. The complexity of cyber-physical systems developing and deploying requires new approaches to its modelling and design. Presents results in the field of modelling technologies that leverage the exploitation of artificial intelligence, including artificial general intelligence (AGI) and weak artificial intelligence. Provides scientific, practical, and methodological approaches based on bio-inspired methods, fuzzy models and algorithms, predictive modelling, computer vision and image processing. The target audience of the book are practitioners, enterprises representatives, scientists, PhD and Master students who perform scientific research or applications of intelligent models and algorithms in cyber-physical systems for various domains.

Defines the activities in the modelling technologies field leverage the exploitation of artificial intelligence Describes fuzzy models and algorithms as well as implementation of these technologies in the different domains Includes the development of predicting models, considering the increasing complexity of the business processes

Inhalt
Bio-inspired modelling.- Fuzzy models and algorithms.- Predictive modelling.- Computer Vision and Image Processing.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030951153
    • Lesemotiv Verstehen
    • Genre Electrical Engineering
    • Auflage 1st edition 2022
    • Editor Alla G. Kravets, Maxim Shcherbakov, Alexander A. Bolshakov
    • Sprache Englisch
    • Anzahl Seiten 292
    • Herausgeber Springer Nature Switzerland
    • Größe H241mm x B160mm x T22mm
    • Jahr 2022
    • EAN 9783030951153
    • Format Fester Einband
    • ISBN 3030951154
    • Veröffentlichung 29.03.2022
    • Titel Cyber-Physical Systems: Intelligent Models and Algorithms
    • Untertitel Studies in Systems, Decision and Control 417
    • Gewicht 606g

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