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

Language: English

Published by Springer, 2020

3030484521 / 9783030484521

Series: Book 414 of 538 - Studies in Computational Intelligence

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

Seller Inventory # 9783030484521

Title
Artificial Intelligence Systems Based on Hybrid Neural Networks : Theory and Applications
Author
Elena Chumachenko
Publisher
Springer
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3030484521
ISBN 13
9783030484521
Item weight
951 grams
Dimensions
241x160x34 mm
Series
Book 414 of 538: Studies in Computational Intelligence

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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