Michael Zgurovsky Victor Sineglazov Elena Chumachenko Zgurovsky Artificial Intelligence Systems Based on Hybrid Neural Networks

Artificial Intelligence Systems Based on Hybrid Neural Networks

von Michael Zgurovsky Victor Sineglazov Elena Chumachenko

Theory and Applications

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Beschreibung

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. 
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. 
Presents a unified methodology for constructing hybrid neural networks Provides original research findings on artificial intelligence systems based on hybrid neural networks Includes theory and applications

Autor*in

Michael Zgurovsky

Themen in »Artificial Intelligence Systems Based on Hybrid Neural Networks«

Computational Intelligence Artificial Intelligence Hybrid Neural Networks Neural Networks AI

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Details

ISBN: 9783030484538
Verlag: Springer International Publishing
Erscheinung: 03.09.2020

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