Overview
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1039)
Included in the following conference series:
Conference proceedings info: ICICCS 2019.
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Table of contents (79 papers)
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Intelligent Computing, Information and Control Systems
Keywords
About this book
This book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The recent research advances in computational intelligence and control systems are addressed, which provide very promising results in various industry, business and societal studies. This book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book will be pragmatic for researchers, academicians and students dealing with mathematically intransigent problems. It is intended for both academicians and researchers in the field of Intelligent Computing, Information and Control Systems, along with the distinctive readers in the fields of computational and artificial intelligence to gain more knowledge on Intelligent computing and control systems and their real-world applications.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Computing, Information and Control Systems
Book Subtitle: ICICCS 2019
Editors: A. Pasumpon Pandian, Klimis Ntalianis, Ram Palanisamy
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-30465-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-30464-5Published: 19 October 2019
eBook ISBN: 978-3-030-30465-2Published: 18 October 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIX, 732
Number of Illustrations: 178 b/w illustrations, 328 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Systems Theory, Control, Big Data/Analytics, Control and Systems Theory, Mathematical Models of Cognitive Processes and Neural Networks
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications