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

Buch 414 von 538: Studies in Computational Intelligence

Zgurovsky, Michael; Sineglazov, Victor; Chumachenko, Elena

 
9783030484521: Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications (Studies in Computational Intelligence, 904, Band 904)
Hardcover
ISBN 10: 3030484521 ISBN 13: 9783030484521
Verlag: Springer, 2020

Inhaltsangabe

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. 

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Von der hinteren Coverseite

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. 

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Verlag
Springer
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3030484521
ISBN 13 
9783030484521
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
527
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Deutschland

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Softcover