Isbn: 9783032187499 - neural networks: theory, algorithms, simulation, and applications (10 risultati)

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  • Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2026

    3032187494 / 9783032187499

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    Hardcover. Condizione: new. Hardcover. This book offers a comprehensive and up-to-date exploration of one of the most transformative areas of modern computing. This edited book brings together leading researchers and practitioners to present both foundational principles and cutting-edge advances in neural network science.Beginning with the mathematical and theoretical underpinnings of neural computation, the book systematically develops key learning paradigms, architectures, and optimization algorithms. It then bridges theory with practice through detailed discussions of simulation methodologies and performance analysis, enabling readers to model, test, and validate neural systems effectively.A distinctive strength of this book lies in its broad coverage of real-world applications, including pattern recognition, computer vision, natural language processing, biomedical engineering, signal and image processing, financial forecasting, and intelligent control systems. Each chapter highlights practical insights, case studies, and emerging trends, making the content highly relevant to both academia and industry.Designed as a reference for graduate students, researchers, and professionals, this book provides a balanced blend of rigor and accessibility. By integrating theory, algorithms, simulation techniques, and applications within a single framework, this book serves as an essential resource for understanding and advancing the next generation of intelligent systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2026

    3032187494 / 9783032187499

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive and up-to-date exploration of one of the most transformative areas of modern computing. This edited book brings together leading researchers and practitioners to present both foundational principles and cutting-edge advances in neural network science.Beginning with the mathematical and theoretical underpinnings of neural computation, the book systematically develops key learning paradigms, architectures, and optimization algorithms. It then bridges theory with practice through detailed discussions of simulation methodologies and performance analysis, enabling readers to model, test, and validate neural systems effectively.A distinctive strength of this book lies in its broad coverage of real-world applications, including pattern recognition, computer vision, natural language processing, biomedical engineering, signal and image processing, financial forecasting, and intelligent control systems. Each chapter highlights practical insights, case studies, and emerging trends, making the content highly relevant to both academia and industry.Designed as a reference for graduate students, researchers, and professionals, this book provides a balanced blend of rigor and accessibility. By integrating theory, algorithms, simulation techniques, and applications within a single framework, this book serves as an essential resource for understanding and advancing the next generation of intelligent systems.…

  • Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2026

    3032187494 / 9783032187499

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    Hardcover. Condizione: new. Hardcover. This book offers a comprehensive and up-to-date exploration of one of the most transformative areas of modern computing. This edited book brings together leading researchers and practitioners to present both foundational principles and cutting-edge advances in neural network science.Beginning with the mathematical and theoretical underpinnings of neural computation, the book systematically develops key learning paradigms, architectures, and optimization algorithms. It then bridges theory with practice through detailed discussions of simulation methodologies and performance analysis, enabling readers to model, test, and validate neural systems effectively.A distinctive strength of this book lies in its broad coverage of real-world applications, including pattern recognition, computer vision, natural language processing, biomedical engineering, signal and image processing, financial forecasting, and intelligent control systems. Each chapter highlights practical insights, case studies, and emerging trends, making the content highly relevant to both academia and industry.Designed as a reference for graduate students, researchers, and professionals, this book provides a balanced blend of rigor and accessibility. By integrating theory, algorithms, simulation techniques, and applications within a single framework, this book serves as an essential resource for understanding and advancing the next generation of intelligent systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Lingua: Inglese

    Editore: Springer, 2026

    3032187494 / 9783032187499

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    EUR 281,98

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  • Lingua: Inglese

    Editore: Springer Nature Switzerland Ag, 2026

    3032187494 / 9783032187499

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    Hardcover. Condizione: Brand New. 211 pages. 6.30x0.71x9.49 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer Verlag GmbH, 2026

    3032187494 / 9783032187499

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Lingua: Inglese

    Editore: Springer Nature Switzerland AG Sep 2026, 2026

    3032187494 / 9783032187499

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 192,59

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a comprehensive and up-to-date exploration of one of the most transformative areas of modern computing. This edited book brings together leading researchers and practitioners to present both foundational principles and cutting-edge advances in neural network science.Beginning with the mathematical and theoretical underpinnings of neural computation, the book systematically develops key learning paradigms, architectures, and optimization algorithms. It then bridges theory with practice through detailed discussions of simulation methodologies and performance analysis, enabling readers to model, test, and validate neural systems effectively.A distinctive strength of this book lies in its broad coverage of real-world applications, including pattern recognition, computer vision, natural language processing, biomedical engineering, signal and image processing, financial forecasting, and intelligent control systems. Each chapter highlights practical insights, case studies, and emerging trends, making the content highly relevant to both academia and industry.Designed as a reference for graduate students, researchers, and professionals, this book provides a balanced blend of rigor and accessibility. By integrating theory, algorithms, simulation techniques, and applications within a single framework, this book serves as an essential resource for understanding and advancing the next generation of intelligent systems. 203 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer Sep 2026, 2026

    3032187494 / 9783032187499

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a comprehensive and up-to-date exploration of one of the most transformative areas of modern computing. This edited book brings together leading researchers and practitioners to present both foundational principles and cutting-edge advances in neural network science.Beginning with the mathematical and theoretical underpinnings of neural computation, the book systematically develops key learning paradigms, architectures, and optimization algorithms. It then bridges theory with practice through detailed discussions of simulation methodologies and performance analysis, enabling readers to model, test, and validate neural systems effectively.A distinctive strength of this book lies in its broad coverage of real-world applications, including pattern recognition, computer vision, natural language processing, biomedical engineering, signal and image processing, financial forecasting, and intelligent control systems. Each chapter highlights practical insights, case studies, and emerging trends, making the content highly relevant to both academia and industry.Designed as a reference for graduate students, researchers, and professionals, this book provides a balanced blend of rigor and accessibility. By integrating theory, algorithms, simulation techniques, and applications within a single framework, this book serves as an essential resource for understanding and advancing the next generation of intelligent systems.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 216 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, 2026

    3032187494 / 9783032187499

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 297,88

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Springer, 2026

    3032187494 / 9783032187499

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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