Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications - Couverture souple

Livre 414 sur 538: Studies in Computational Intelligence

Zgurovsky, Michael ; Sineglazov, Victor ; Chumachenko, Elena

9783030484552: Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications

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ISBN 10 : 3030484556 ISBN 13 : 9783030484552

Editeur : Springer Nature Switzerland AG, 2021

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Classification and Analysis Topologies Known Artificial Neurons and Neural Networks.- Classification and Analysis of Multicriteria Optimization Methods.- Formation of Hybrid Artificial Neural Networks Topologies.- Development of Hybrid Neural Networks.- Intelligence Methods of Forecasting.- Intelligent System of Thyroid Pathology Diagnostics.- Intelligent Automated Road Management Systems.- Fire Surveillance Information Systems.

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�diteur: Springer Nature Switzerland AG
Date d'�dition: 2021
Langue: anglais
ISBN 10: 3030484556
ISBN 13: 9783030484552
Reliure: Broch�
Nombre de pages: 527
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Artificial Intelligence Systems Based on Hybrid Neural Networks (eng)

Zgurovsky, Michael

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Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications (Studies in Computational Intelligence, 904)

Zgurovsky, Michael; Sineglazov, Victor; Chumachenko, Elena

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Artificial Intelligence Systems Based on Hybrid Neural Networks

Zgurovsky, Michael|Sineglazov, Victor|Chumachenko, Elena

Edit� par Springer, Berlin|Springer International Publishing|Springer, 2021

ISBN 10 : 3030484556 ISBN 13 : 9783030484552

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on d. N� de r�f. du vendeur 494332229

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Artificial Intelligence Systems Based on Hybrid Neural Networks

Michael Zgurovsky

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems.One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning.The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms. 528 pp. Englisch. N� de r�f. du vendeur 9783030484552

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Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence)

Sineglazov Victor Zgurovsky Michael

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Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence)

Victor Sineglazov Michael Zgurovsky

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Artificial Intelligence Systems Based on Hybrid Neural Networks

Michael Zgurovsky

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Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence)

Sineglazov Victor Zgurovsky Michael

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ISBN 10 : 3030484556 ISBN 13 : 9783030484552

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Artificial Intelligence Systems Based on Hybrid Neural Networks : Theory and Applications

Michael Zgurovsky

Edit� par Springer International Publishing, 2021

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems.One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning.The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms. N� de r�f. du vendeur 9783030484552

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