Optimized Computational Intelligence Driven Decision-Making

Optimized Computational Intelligence Driven Decision-Making
Author :
Publisher : John Wiley & Sons
Total Pages : 372
Release :
ISBN-10 : 9781394242542
ISBN-13 : 1394242549
Rating : 4/5 (42 Downloads)

Book Synopsis Optimized Computational Intelligence Driven Decision-Making by : Hrudaya Kumar Tripathy

Download or read book Optimized Computational Intelligence Driven Decision-Making written by Hrudaya Kumar Tripathy and published by John Wiley & Sons. This book was released on 2024-07-08 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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