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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 68,12
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 70,08
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 76,44
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 93,75
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Añadir al carritoPaperback. Condición: Brand New. 232 pages. 9.19x6.13x0.53 inches. In Stock.
Publicado por Taylor & Francis Ltd, London, 2023
ISBN 10: 0367752549 ISBN 13: 9780367752545
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 79,03
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Añadir al carritoPaperback. Condición: new. Paperback. Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics. The book contains theory and applications of soft computing in engineering, health, social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 74,78
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 68,73
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Añadir al carritoPaperback. Condición: Brand New. 232 pages. 9.19x6.13x0.53 inches. In Stock. This item is printed on demand.
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Pradip Debnath is an assistant professor (in Mathematics) in the Department of Applied Science and Humanities of Assam University, Silchar. S. A. Mohiuddine is a full professor of Mathematics at King Abdulaziz University, Jeddah, Saudi Arabia.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 76,28
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 93,18
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.