Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence, 904) - Image 1

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

Name: Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications: 904 (Studies in Computational Intelligence, 904)
Brand: Springer
Price: 115.55 GBP
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Description

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. From the Back Cover 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.

Product Specifications

Brand: Springer
Format: Paperback
ASIN: 3030484556
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 04 September 2021
Listed Since: 09 August 2021

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

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