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Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications - Couverture rigide
- ÉditeurDe Gruyter
- Date d'édition2021
- ISBN 10 3110676060
- ISBN 13 9783110676068
- ReliureRelié
- Langueanglais
- Nombre de pages168
- ÉditeurKhamparia Aditya, Khanna Ashish, Nguyen Nhu Gia, Le Nguyen Bao
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Nature-Inspired Optimization Algorithms : Recent Advances in Natural Computing and Biomedical Applications
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Nature-Inspired Optimization Algorithms
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Nature-Inspired Optimization Algorithms
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Nature-Inspired Optimization Algorithms : Recent Advances in Natural Computing and Biomedical Applications
Edité par
De Gruyter, 2021
ISBN 10 : 3110676060
ISBN 13 : 9783110676068
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Nature-Inspired Optimization Algorithms : Recent Advances in Natural Computing and Biomedical Applications
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Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications (Intelligent Biomedical Data Analysis, 4, Band 4)
Edité par
De Gruyter, 2021
ISBN 10 : 3110676060
ISBN 13 : 9783110676068
Ancien ou d'occasion
Couverture rigide
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Etat : Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand.2021. | Seiten: 168 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 37282585/12
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Nature-Inspired Optimization Algorithms : Recent Advances in Natural Computing and Biomedical Applications
Edité par
De Gruyter, 2021
ISBN 10 : 3110676060
ISBN 13 : 9783110676068
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 42543481
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Nature-Inspired Optimization Algorithms : Recent Advances in Natural Computing and Biomedical Applications
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Buch. Etat : Neu. Neuware - This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations. N° de réf. du vendeur 9783110676068
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Nature-Inspired Optimization Algorithms (Hardcover)
Edité par
De Gruyter, Berlin, 2021
ISBN 10 : 3110676060
ISBN 13 : 9783110676068
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Couverture rigide
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Hardcover. Etat : new. Hardcover. This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783110676068
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Nature-Inspired Optimization Algorithms
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Gebunden. Etat : New. A. Khamparia, Lovely Professional Univ. A. Khanna, M. Agrasen Inst. of Techn., India N. Nhu, B. Nguyen, Duy Tan University, Vietnam. This book will focus on the involvement of data mining an. N° de réf. du vendeur 579666280
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