Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions (Emerald Points) - Softcover

Hu, Zhengbing; Bodyanskiy, Yevgeniy V.; Tyshchenko, Oleksii

Softcover

ISBN 10: 1838671749 ISBN 13: 9781838671747

Publisher: Emerald Publishing Limited, 2019

Synopsis

In today’s data-driven world, more sophisticated algorithms for data processing are in high demand, mainly when the data cannot be handled with the help of traditional techniques. Self-learning and adaptive algorithms are now widely used by such leading giants that as Google, Tesla, Microsoft, and Facebook in their projects and applications. 

In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear. Including research relevant to those studying cybernetics, applied mathematics, statistics, engineering, and bioinformatics who are working in the areas of machine learning, artificial intelligence, complex system modeling and analysis, neural networks, and optimization, this is an ideal read for anyone interested in learning more about the fascinating new developments in machine learning.

About this title

About the Author

Zhengbing Hu is an Associate Professor, School of Educational Information Technology, Huazhong Normal University, China. 

Yevgeniy V. Bodyanskiy is a Professor at the Department of Artificial Intelligence, Kharkiv National University of Radioelectronics. 

Oleksii Tyshchenko is a Researcher at the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic.

Edition details

• Publisher: Emerald Publishing Limited
• Publication date: 2019
• Language: English
• ISBN 10: 1838671749
• ISBN 13: 9781838671747
• Binding: Paperback
• Number of pages: 120