Optimized computational intelligence driven decision-making

• Titel: Optimized computational intelligence driven decision-making
• Titelzusatz: theory, application and challenges
• Verf.angabe: edited by Hrudaya Kumar Tripathy... [and 4 others]
• Verlagsort: Hoboken, NJ ; Beverly, MA
• Verlagsort: Hoboken, NJ ; Beverly, MA
• Verlag: John Wiley & Sons, Inc.
• Verlag: Scrivener Publishing LLC
• Jahr: 2024
• Jahr: 2024
• Umfang: 1 online resource.
• Gesamttitel/Reihe: Industry 5.0 transformation applications
• Fussnoten: Description based on online resource; title from digital title page (viewed on July 17, 2024)
• ISBN: 978-1-394-24256-6
• ISBN: 1-394-24256-5
• ISBN: 978-1-394-24255-9
• ISBN: 1-394-24255-7
• ISBN: 978-1-394-24253-5
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Intelligence informatique
• K10plus-PPN: 189910951X
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4568075750
• Lokale URL Inst.: Zum Volltext

Abstract

This book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts. Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains. includes real-life case studies highlighting different advanced technologies in computational intelligence; provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics; reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain; offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges; presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics; includes architectural models and applications-based augmented solutions for optimized computational intelligence. Audience The book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence.