Hybrid computational intelligent systems: modeling, simulation and optimization
"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 breakth...
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Boca Raton, FL
CRC Press
2023
|
Ausgabe: | First edition. |
Schriftenreihe: | Quantum machine intelligence
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781000862058/?ar |
Zusammenfassung: | "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, human factors, along with the enhancement of the existing state-of-art in a high-performance computing setup. In addition, the book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation. The volume also highlights novel applications to 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 intelligence 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"-- |
Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on August 10, 2023) |
Umfang: | 1 Online-Ressource (xxx, 366 Seiten) illustrations. |
ISBN: | 9781003381167 1003381162 9781000862058 1000862054 9781000862027 100086202X |
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520 | |a "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, human factors, along with the enhancement of the existing state-of-art in a high-performance computing setup. In addition, the book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation. The volume also highlights novel applications to 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 intelligence 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"-- | ||
650 | 0 | |a Computational intelligence | |
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illustrated | Illustrated |
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series2 | Quantum machine intelligence |
spelling | Hybrid computational intelligent systems modeling, simulation and optimization edited by Siddhartha Bhattacharyya First edition. Boca Raton, FL CRC Press 2023 ©2023 1 Online-Ressource (xxx, 366 Seiten) illustrations. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Quantum machine intelligence Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on August 10, 2023) "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, human factors, along with the enhancement of the existing state-of-art in a high-performance computing setup. In addition, the book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation. The volume also highlights novel applications to 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 intelligence 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"-- Computational intelligence Hybrid systems Computer simulation Intelligence informatique Systèmes dynamiques hybrides Simulation par ordinateur simulation Bhattacharyya, Siddhartha 1975- HerausgeberIn edt 9781032393025 Erscheint auch als Druck-Ausgabe 9781032393025 |
spellingShingle | Hybrid computational intelligent systems modeling, simulation and optimization Computational intelligence Hybrid systems Computer simulation Intelligence informatique Systèmes dynamiques hybrides Simulation par ordinateur simulation |
title | Hybrid computational intelligent systems modeling, simulation and optimization |
title_auth | Hybrid computational intelligent systems modeling, simulation and optimization |
title_exact_search | Hybrid computational intelligent systems modeling, simulation and optimization |
title_full | Hybrid computational intelligent systems modeling, simulation and optimization edited by Siddhartha Bhattacharyya |
title_fullStr | Hybrid computational intelligent systems modeling, simulation and optimization edited by Siddhartha Bhattacharyya |
title_full_unstemmed | Hybrid computational intelligent systems modeling, simulation and optimization edited by Siddhartha Bhattacharyya |
title_short | Hybrid computational intelligent systems |
title_sort | hybrid computational intelligent systems modeling simulation and optimization |
title_sub | modeling, simulation and optimization |
topic | Computational intelligence Hybrid systems Computer simulation Intelligence informatique Systèmes dynamiques hybrides Simulation par ordinateur simulation |
topic_facet | Computational intelligence Hybrid systems Computer simulation Intelligence informatique Systèmes dynamiques hybrides Simulation par ordinateur simulation |
work_keys_str_mv | AT bhattacharyyasiddhartha hybridcomputationalintelligentsystemsmodelingsimulationandoptimization |