<span>In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are presented in application areas such as, intelligent control and robotics, pattern recogni
Artificial Intelligence Systems Based on Hybrid Neural Networks: Theory and Applications
โ Scribed by Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko
- Publisher
- Springer International Publishing;Springer
- Year
- 2021
- Tongue
- English
- Leaves
- 527
- Series
- Studies in Computational Intelligence 904
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter ....Pages i-xv
Classification and Analysis Topologies Known Artificial Neurons and Neural Networks (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 1-58
Classification and Analysis of Multicriteria Optimization Methods (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 59-174
Formation of Hybrid Artificial Neural Networks Topologies (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 175-232
Development of Hybrid Neural Networks (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 233-312
Intelligence Methods of Forecasting (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 313-361
Intelligent System of Thyroid Pathology Diagnostics (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 363-460
Intelligent Automated Road Management Systems (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 461-484
Fire Surveillance Information Systems (Michael Zgurovsky, Victor Sineglazov, Elena Chumachenko)....Pages 485-510
Back Matter ....Pages 511-512
โฆ Subjects
Engineering; Computational Intelligence
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