Prelims

Zhengbing Hu (Central China Normal University, China)
Yevgeniy V. Bodyanskiy (Kharkiv National University of Radio Electronics, Ukraine)
Oleksii K. Tyshchenko (University of Ostrava, Czech Republic)

Self-Learning and Adaptive Algorithms for Business Applications

ISBN: 978-1-83867-174-7, eISBN: 978-1-83867-171-6

Publication date: 21 June 2019

Citation

Hu, Z., Bodyanskiy, Y.V. and Tyshchenko, O.K. (2019), "Prelims", Self-Learning and Adaptive Algorithms for Business Applications, Emerald Publishing Limited, Leeds, pp. i-vii. https://doi.org/10.1108/978-1-83867-171-620191001

Publisher

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Emerald Publishing Limited

Copyright © 2019 Emerald Publishing Limited


Half Title Page

SELF-LEARNING AND ADAPTIVE ALGORITHMS FOR BUSINESS APPLICATIONS

Title Page

SELF-LEARNING AND ADAPTIVE ALGORITHMS FOR BUSINESS APPLICATIONS

A Guide to Adaptive Neuro-fuzzy Systems for Fuzzy Clustering under Uncertainty Conditions

BY

ZHENGBING HU

Central China Normal University, China

YEVGENIY V. BODYANSKIY

Kharkiv National University of Radio Electronics, Ukraine

OLEKSII K. TYSHCHENKO

University of Ostrava, Czech Republic

United Kingdom – North America – Japan – India – Malaysia – China

Copyright Page

Emerald Publishing Limited

Howard House, Wagon Lane, Bingley BD16 1WA, UK

First edition 2019

Copyright © 2019 Emerald Publishing Limited

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British Library Cataloguing in Publication Data

A catalogue record for this book is available from the British Library

ISBN: 978-1-83867-174-7 (Print)

ISBN: 978-1-83867-171-6 (Online)

ISBN: 978-1-83867-173-0 (Epub)

Acknowledgment

The authors would like to thank their families and colleagues for comprehensive support.

Several people put much effort to make this book better.

The team of Emerald Publishing has done a great job of preparing the manuscript. They spent hours of their own time carefully reading through the material, finding typos, and making valuable substantive recommendations.

Each contributor spent many hours helping clarify the goals and concepts of the book, organize the material and generally make the text more intelligible and exciting.

Finally, we should also mention that this book was partially supported by the Research Association of Modern Education and Computer Science (RAMECS) and self-determined research funds of CCNU from the colleges’ primary research and operation of MOE (CCNU19TS022).