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Artificial Intelligence Systems Based on Hybrid Neural Networks - Theory and Applications (Hardcover, 1st ed. 2021)
Loot Price: R4,934
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Artificial Intelligence Systems Based on Hybrid Neural Networks - Theory and Applications (Hardcover, 1st ed. 2021)
Series: Studies in Computational Intelligence, 904
Expected to ship within 10 - 15 working days
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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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