Self-learning and adaptive algorithms for business applications : a guide to adaptive neuro-fuzzy systems for fuzzy clustering under uncertainty conditions
- Author
- Additional Author(s)
-
- Bodyanskiy, Yevgeniy V.
- Tyshchenko, Oleksii K.
- Publisher
- Bingley, UK: Emerald Group Publishing Limited, 2019
- Language
- English
- ISBN
- 9781838671716
- Series
- Emerald points
- Subject(s)
-
- BUSINESS-DATA PROCESSING
- ELECTRONIC DATA PROCESSING
- FUZZY SYSTEMS
- Notes
-
- Emerald Business Management and Economics Ebooks 2019
- Includes bibliographical references
. .
- Abstract
- A Guide to Adaptive Neuro-fuzzy Systems for Fuzzy Clustering under Uncertainty Conditions
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.
Physical Dimension
- Number of Page(s)
- online resource (vii, 111 p.)
- Dimension
- -
- Other Desc.
- -
Summary / Review / Table of Content
Prelims
Introduction
Chapter 1 Review of the Problem Area
Chapter 2 Adaptive Methods of Fuzzy Clustering
Chapter 3 Kohonen Maps and Their Ensembles for Fuzzy Clustering Tasks
Chapter 4 Simulation Results and Solutions for Practical Tasks
Conclusion
References
Exemplar(s)
| # |
Accession No. |
Call Number |
Location |
Status |
| 1. | 00412/20 | 658.054 Huz S | Online ! | Available |
