Soft Computing For Data Analytics, Class
Gupta, Deepak
ISBN 10: 3030920283 ISBN 13: 9783030920289
Edité par Springer, 2023
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N° de réf. du vendeur V9783030920289
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This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control.
The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design ofhybrid algorithms for applications in data analytics, classification model, and engineering control.
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Titre : Soft Computing For Data Analytics, Class
Éditeur : Springer
Date d'édition : 2023
Reliure : Couverture souple
Etat : New
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Soft Computing for Data Analytics, Classification Model, and Control
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ISBN 10 : 3030920283
ISBN 13 : 9783030920289
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Etat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control.The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design ofhybrid algorithms for applications in data analytics, classification model, and engineering control. N° de réf. du vendeur 41423938/1
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Soft Computing for Data Analytics, Classification Model, and Control
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ISBN 10 : 3030920283
ISBN 13 : 9783030920289
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Edité par
Springer, Springer Feb 2023, 2023
ISBN 10 : 3030920283
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