Shulph Ink
Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences
Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences
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This book discusses soft computing techniques for engineering, health, social sciences, and applied sciences, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid systems. It serves as a one-stop reference for readers interested in soft computing and is suitable for graduate students, faculty, and researchers.
Format: Hardback
Length: 220 pages
Publication date: 16 July 2021
Publisher: Taylor & Francis Ltd
Soft computing techniques have expanded beyond the realm of computer science, experiencing a remarkable surge in demand across various scientific and engineering disciplines, as well as in health and social sciences. This comprehensive book delves into the theoretical foundations and practical applications of soft computing in engineering, health, social, and applied sciences. It explores a diverse range of soft computing techniques, including artificial neural networks, fuzzy systems, evolutionary algorithms, and hybrid systems. Additionally, it includes essential chapters on machine learning and clustering, providing a comprehensive survey of the existing knowledge and the latest advancements in the field. Authored by renowned researchers, this book offers original contributions that highlight the current state of art development in soft computing. It serves as a valuable resource for a broad audience of readers worldwide, including graduate students, faculty, and researchers seeking to expand their expertise in this rapidly evolving field. Each chapter in the book begins with foundational concepts, followed by advanced discussions that cater to learners and researchers from diverse backgrounds. The book provides valuable tools and techniques to develop soft computing skills, making it an essential resource for those pursuing advanced studies in computer science, mathematics, and related disciplines. It is particularly suited for graduate students who wish to delve deeper into the applications of soft computing in their respective fields.
Weight: 494g
Dimension: 160 x 243 x 20 (mm)
ISBN-13: 9780367750688
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