Soft Computing for Data Analytics, Classification Model, and Control: 413 (Studies in Fuzziness and Soft Computing, 413) - Tapa dura

Libro 178 de 183: Studies in Fuzziness and Soft Computing
 
9783030920258: Soft Computing for Data Analytics, Classification Model, and Control: 413 (Studies in Fuzziness and Soft Computing, 413)
Tapa dura
ISBN 10: 3030920259 ISBN 13: 9783030920258
Editorial: Springer, 2022

Sinopsis

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 of hybrid algorithms for applications in data analytics, classification model, and engineering control.


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De la contraportada

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.


"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3030920259
ISBN 13 
9783030920258
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
176
Editor
Khamparia Aditya, Khanna Ashish, Gupta Deepak
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783030920289: Soft Computing for Data Analytics, Classification Model, and Control: 413 (Studies in Fuzziness and Soft Computing)

Edición Destacada

ISBN 10:  3030920283 ISBN 13:  9783030920289
Editorial: Springer, 2023
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