Neural Networks: Theory, Algorithms, Simulation, and Applications - Couverture rigide

9783032187499: Neural Networks: Theory, Algorithms, Simulation, and Applications

Couverture rigide

ISBN 10 : 3032187494 ISBN 13 : 9783032187499

Editeur : Springer Nature Switzerland AG, 2026

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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.

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�diteur: Springer Nature Switzerland AG
Date d'�dition: 2026
Langue: anglais
ISBN 10: 3032187494
ISBN 13: 9783032187499
Reliure: Reli�
Nombre de pages: 211
�diteur: Kaur Lakhveer, Kumar Pushpendra
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Neural Networks: Theory, Algorithms, Simulation, and Applications (Hardcover)

Lakhveer Kaur

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032187494 ISBN 13 : 9783032187499

Neuf Couverture rigide

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Hardcover. Etat : 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. N� de r�f. du vendeur 9783032187499

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Neural Networks: Theory, Algorithms, Simulation, and Applications

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ISBN 10 : 3032187494 ISBN 13 : 9783032187499

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Neural Networks: Theory, Algorithms, Simulation, and Applications

Pushpendra Kumar

Edit� par Springer Nature Switzerland AG Sep 2026, 2026

ISBN 10 : 3032187494 ISBN 13 : 9783032187499

Neuf Couverture rigide

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Buch. Etat : 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. N� de r�f. du vendeur 9783032187499

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Neural Networks: Theory, Algorithms, Simulation, and Applications

Pushpendra Kumar

Edit� par Springer, 2026

ISBN 10 : 3032187494 ISBN 13 : 9783032187499

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : 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. N� de r�f. du vendeur 9783032187499

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Neural Networks: Theory, Algorithms, Simulation, and Applications (Hardcover)

Lakhveer Kaur

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 3032187494 ISBN 13 : 9783032187499

Neuf Couverture rigide

Vendeur : AussieBookSeller, Truganina, VIC, Australie

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : 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. N� de r�f. du vendeur 9783032187499

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Neural Networks: Theory, Algorithms, Simulation, and Applications

Pushpendra Kumar

Edit� par Springer Sep 2026, 2026

ISBN 10 : 3032187494 ISBN 13 : 9783032187499

Neuf Couverture rigide

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : 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. N� de r�f. du vendeur 9783032187499

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