Faris Hossam (47 results)
Language: English
Published by Springer, 2022
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Language: English
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Language: English
Published by Springer, 2020
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Language: English
Published by Springer, 2019
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Language: English
Published by Springer, 2020
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Language: English
Published by Springer, 2021
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Language: English
Published by Springer, 2022
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Language: English
Published by Springer, 2019
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Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Language: English
Published by Springer, 2019
- Hardcover
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Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Language: English
Published by Springer, 2019
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Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Language: English
Published by Springer, 2019
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Language: English
Published by Springer, 2020
- Softcover
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Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Evolutionary Machine Learning Techniques : Algorithms and Applications
Mirjalili, Seyedali (EDT); Faris, Hossam (EDT); Aljarah, Ibrahim (EDT)
Language: English
Published by Springer, 2019
- Hardcover
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Language: English
Published by Springer, 2020
- Softcover
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Taschenbuch. Condition: Neu. Evolutionary Machine Learning Techniques | Algorithms and Applications | Seyedali Mirjalili (u. a.) | Taschenbuch | Algorithms for Intelligent Systems | x | Englisch | 2020 | Springer | EAN 9789813299924 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
More imagesLanguage: English
Published by Springer, 2022
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Taschenbuch. Condition: Neu. Evolutionary Data Clustering: Algorithms and Applications | Ibrahim Aljarah (u. a.) | Taschenbuch | Algorithms for Intelligent Systems | xii | Englisch | 2022 | Springer | EAN 9789813341937 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2021
- Hardcover
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2022
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2019
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Condition: New. pp. X, 286 72 illus., 55 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clus…tering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering indiverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
Language: English
Published by Springer, Springer, 2022
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutiona…ry clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering indiverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2019
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines…, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks.The book provides essential definitions, literature reviews, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons of classical training algorithms. It features a range of proven and recent nature-inspired algorithms used to train different types of artificial neural networks, including genetic algorithm, ant colony optimization, particle swarm optimization, grey wolf optimizer, whale optimization algorithm, ant lion optimizer, moth flame algorithm, dragonfly algorithm, salp swarm algorithm, multi-verse optimizer, and sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression problems in diverse fields.
Language: English
Published by Springer, Springer, 2020
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector m…achines, extreme learning machines, evolutionary feature selection, artificial neural networks including feed-forward neural networks, multi-layer perceptron, probabilistic neural networks, self-optimizing neural networks, radial basis function networks, recurrent neural networks, spiking neural networks, neuro-fuzzy networks, modular neural networks, physical neural networks, and deep neural networks.The book provides essential definitions, literature reviews, and the training algorithms for machine learning using classical and modern nature-inspired techniques. It also investigates the pros and cons of classical training algorithms. It features a range of proven and recent nature-inspired algorithms used to train different types of artificial neural networks, including genetic algorithm, ant colony optimization, particle swarm optimization, grey wolf optimizer, whale optimization algorithm, ant lion optimizer, moth flame algorithm, dragonfly algorithm, salp swarm algorithm, multi-verse optimizer, and sine cosine algorithm. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression problems in diverse fields.
Evolutionary Machine Learning Techniques: Algorithms and Applications
Mirjalili, Seyedali (Editor)/ Faris, Hossam (Editor)/ Aljarah, Ibrahim (Editor)
Language: English
Published by Springer Nature, 2020
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 296 pages. 9.25x6.10x0.94 inches. In Stock.
Evolutionary Data Clustering: Algorithms and Applications
Aljarah, Ibrahim (Editor)/ Faris, Hossam (Editor)/ Mirjalili, Seyedali (Editor)
Language: English
Published by Springer Nature, 2021
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Evolutionary Machine Learning Techniques: Algorithms and Applications
Mirjalili, Seyedali (Editor)/ Faris, Hossam (Editor)/ Aljarah, Ibrahim (Editor)
Language: English
Published by Springer-Verlag New York Inc, 2019
- Hardcover
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Hardcover. Condition: Brand New. 298 pages. 9.25x6.10x0.87 inches. In Stock.
Language: English
Published by Springer, 2022
- Softcover
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Language: English
Published by Springer, 2020
- Softcover
- Print on Demand
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Language: English
Published by Springer, 2021
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer, 2019
- Hardcover
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Language: English
Published by Springer Nature Singapore, 2022
- Softcover
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an in-depth analysis of the current evolutionary clustering techniquesFeatures a range of proven and recent nature-inspired algorithms used to data clusteringServes as a reference res…ource for researchers and academicians.
