Artificial intelligence systems based on hybrid neural networks theory and applications /
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 pre...
| Main Author: | Zhurovsʹkyĭ, M. Z. |
|---|---|
| Other Authors: | Sineglazov, Victor., Chumachenko, Elena., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2021]
Cham : [2021] |
| Physical Description: |
1 online resource. |
| Series: |
Studies in computational intelligence ;
v. 904. |
| Subjects: |
Table of Contents:
- Classification and Analysis Topologies Known Artificial Neurons and Neural Networks
- Classification and Analysis of Multicriteria Optimization Methods
- Formation of Hybrid Artificial Neural Networks Topologies
- Development of Hybrid Neural Networks
- Intelligence Methods of Forecasting
- Intelligent System of Thyroid Pathology Diagnostics
- Intelligent Automated Road Management Systems
- Fire Surveillance Information Systems.