Applications of Computational Intelligence in Management & Mathematics

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171,19 

8th ICCM, Nirjuli, AP, India, July 29-30,2022, Springer Proceedings in Mathematics & Statistics 417

ISBN: 3031251938
ISBN 13: 9783031251931
Herausgeber: Madhusudhan Mishra/Nishtha Kesswani/Imene Brigui
Verlag: Springer Verlag GmbH
Umfang: xiii, 354 S., 1 s/w Illustr., 354 p. 1 illus.
Erscheinungsdatum: 31.05.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: GEB

Provides researchers with powerful tools to analyze and solve incomplete data and complex problemsAddresses potential aspects of computational intelligence techniques in simulations of applicationsSuitable for academics, researchers and industry practitioners working in computational management

Beschreibung

Computational intelligence consists of those techniques that imitate the human brain and nature to adopt the decision-making approach. This book contains selected papers from the 8th International Conference on Computers, Management and Mathematical Sciences (ICCM) 2022 about fuzzy systems, neural networks and evolutionary computation that can address stochastic environments where reasoning is a significant attribute to derive potential solutions and focus on the business domain's computational aspects. This is a conference proceedings for scholars/students who are using the powerful algorithms, concepts and principles of computational intelligence in a wide spectrum of research cases.

Autorenporträt

Dr. Madhusudhan Mishra is an Associate Professor in the Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, Arunachal Pradesh since 2019. He received his B.Tech. Degree in Electronics and Communication Engineering from NERIST (2004), M. Tech in Signal Processing from IIT Guwahati (2011), and Ph.D. Degree from the Department of Electrical Engineering, IIT Kharagpur, India (2020). He has published several international conferences and journal papers of repute including IEEE transactions on Instrumentation and Measurements and IEEE Sensor Journal. His current research interest includes Biomedical Signal Processing and Machine Learning.

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