Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization (Quantum Machine Intelligence) - Tapa dura
Sinopsis
Hybrid Computational Intelligent Systems – Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.
Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation.
The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems.
Features:
- A self-contained approach to integrating the principles of hybrid computational ntelligence with system modeling and simulation
- Well-versed foundation of computational intelligence and its application to real life engineering problems
- Elucidates essential background, concepts, definitions, and theories thereby putting forward a complete treatment on the subject
- Effective modeling of hybrid intelligent systems forms the backbone of almost every operative system in real-life
- Proper simulation of real-time hybrid intelligent systems is a prerequisite for deriving any real-life system solution
- Optimized system modeling and simulation enable real-time and failsafe operations of the existing hybrid intelligent system solutions
- Information presented in an accessible way for researchers, engineers, developers, and practitioners from academia and industry working in all major areas and interdisciplinary areas of hybrid computational intelligence and communication systems to evolve human-centered modeling and simulations of real-time data-intensive intelligent systems.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Siddhartha Bhattacharyya is currently serving as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum, India. He has been inducted into the People of ACM hall of fame by ACM, the USA in 2020. He has been elected as a full foreign member of the Russian Academy of Natural Sciences. He has been elected as a full fellow of The Royal Society for Arts, Manufactures and Commerce (RSA), London, UK. He is a co-author of 6 books and the co-editor of 75 books and has more than 300 research publications in international journals and conference proceedings to his credit. His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks, and quantum computing.
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Hybrid Computational Intelligent Systems
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hybrid Computational Intelligent Systems - Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation.The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems.Features:A self-contained approach to integrating the principles of hybrid computational ntelligence with system modeling and simulationWell-versed foundation of computational intelligence and its application to real life engineering problemsElucidates essential background, concepts, definitions, and theories thereby putting forward a complete treatment on the subjectEffective modeling of hybrid intelligent systems forms the backbone of almost every operative system in real-lifeProper simulation of real-time hybrid intelligent systems is a prerequisite for deriving any real-life system solutionOptimized system modeling and simulation enable real-time and failsafe operations of the existing hybrid intelligent system solutionsInformation presented in an accessible way for researchers, engineers, developers, and practitioners from academia and industry working in all major areas and interdisciplinary areas of hybrid computational intelligence and communication systems to evolve human-centered modeling and simulations of real-time data-intensive intelligent systems. 398 pp. Englisch. Nº de ref. del artículo: 9781032393025
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