Artificial Intelligence Systems Based on Hybrid Neural Networks is popular PDF and ePub book, written by Michael Zgurovsky in 2020-09-03, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Artificial Intelligence Systems Based on Hybrid Neural Networks can be Read Online from any device for your convenience.
Artificial Intelligence Systems Based on Hybrid Neural Networks Book PDF Summary
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.
Detail Book of Artificial Intelligence Systems Based on Hybrid Neural Networks PDF
- Author : Michael Zgurovsky
- Release : 03 September 2020
- Publisher : Springer Nature
- ISBN : 9783030484538
- Genre : Technology & Engineering
- Total Page : 527 pages
- Language : English
- PDF File Size : 17,7 Mb
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