Real World Applications Computational (54 results)

2005. 16 x 24 cm. XVI, 296 S. XVI, 296 p. (Studies in Fuzziness and Soft Computing). Sprache: Englisch.

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on themodelling and optimization aspects of the feature selection problem throughcomputational intelligence methods in complex, high-dimensional supervisedmachine learning. To aidreaders in conductingresearch in this field, it covers fundamental concepts and state-of-the-artalgorithms. This book also providesa detailed insight into applying these algorithms into real-world applications.The authors begin by introducing thedefinition high-dimensional machine learning (ML) problems and the challenges they pose. Subsequently, they delve intodimension reduction methods for high-dimensional ML, including global and localfeature selection (FS) techniques. This book also comprehensively presents computationalintelligence methods such as evolutionary computation and deep neural networksfor FS, supported by boththeoretical and empirical evidence. Furthermore, this book explores real-worldscenario applications involving high-dimensional ML, particularly in the context of smartcities, bioinformatics and industrial informatics.This book is a suitable readfor postgraduates and researchers who are interested in the research areas ofcomputational intelligence, soft computing, machine learning and deep learning.Professionals and practitioners within these related fields will also benefitfrom this book.

Condition: New. In English.

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. Problem Solving with Computational Statistics - Real-World Applications presents a practical approach to utilizing computational statistics for addressing real-world challenges. This book emphasizes the application of statistical techniques to solve complex problems across various domains. It covers a range of computational methods and their implementation, providing readers with actionable insights into how statistics can be applied effectively. The text is rich with examples that demonstrate the power of computational statistics in fields such as finance, healthcare, and social sciences. This work is essential for practitioners and researchers looking to enhance their problem-solving capabilities through statistical methods. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Dust Jacket Condition: no dj. First. Learning Computational Mechanics Through Real-World Applications emphasizes the practical application of computational mechanics in solving real-world engineering problems. This book presents a range of case studies that illustrate the use of computational methods in various fields, from structural analysis to fluid dynamics. It encourages readers to engage with the material through hands-on examples and simulations, fostering a deeper understanding of computational mechanics principles. This text is invaluable for students and professionals eager to enhance their skills in computational engineering. Publication Year: . SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.