Cyber-Physical Systems: Intelligent Models and Algorithms: Studies in Systems, Decision and Control
Editat de Alla G. Kravets, Alexander A. Bolshakov, Maxim Shcherbakoven Limba Engleză Hardback – 29 mar 2022
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Specificații
ISBN-13: 9783030951153
ISBN-10: 3030951154
Pagini: 292
Ilustrații: IX, 279 p. 111 illus., 60 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.61 kg
Ediția:1st ed. 2022
Editura: Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Cham, Switzerland
ISBN-10: 3030951154
Pagini: 292
Ilustrații: IX, 279 p. 111 illus., 60 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.61 kg
Ediția:1st ed. 2022
Editura: Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Cham, Switzerland
Cuprins
Bio-inspired modelling.- Fuzzy models and algorithms.- Predictive modelling.- Computer Vision and Image Processing.
Textul de pe ultima copertă
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.
Caracteristici
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