Isbn: 9780128239780 - applications of computational intelligence in multi-disciplinary research (9 risultati)

Applications of Computational Intelligence in Multi-disciplinary Research
Elngar, Ahmed A. (EDT); Chowdhury, Rajdeep (EDT); Elhoseny, Mohamed (EDT); Balas, Valentina Emilia (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Applications of Computational Intelligence in Multi-disciplinary Research
Elngar, Ahmed A. (EDT); Chowdhury, Rajdeep (EDT); Elhoseny, Mohamed (EDT); Balas, Valentina Emilia (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In English.

Applications of Computational Intelligence in Multi-disciplinary Research
Elngar, Ahmed A. (EDT); Chowdhury, Rajdeep (EDT); Elhoseny, Mohamed (EDT); Balas, Valentina Emilia (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Applications of Computational Intelligence in Multi-disciplinary Research
Elngar, Ahmed A. (EDT); Chowdhury, Rajdeep (EDT); Elhoseny, Mohamed (EDT); Balas, Valentina Emilia (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 207,13
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 235,16
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Paperback. Condizione: New. Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing.…

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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods Includes case studies and real-world examples of computatio.

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New. Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing.…

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 269,19
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Taschenbuch. Condizione: Neu. Neuware - Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing.…