Artificial Intelligence Systems Based on Hybrid Neural Networks Theory and Applications - Studies in Computational Intelligence
1st Edition 2021
Hardback (04 Sep 2020)
- $206.47
Includes delivery to the United States
10+ copies available online - Usually dispatched within 7 days
Other formats/editions
Check stock
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.
Book information
ISBN: | 9783030484521 |
Publisher: | Springer International Publishing |
Imprint: | Springer |
Pub date: | 04 Sep 2020 |
Edition: | 1st Edition 2021 |
Language: | English |
Number of pages: | 512 |
Weight: | 951g |
Height: | 235mm |
Width: | 155mm |
Spine width: | 29mm |