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Soft Computing for Data Analytics, Classification Model, and Control (Studies in Fuzziness and Soft Computing, 413) 1st ed. 2022 Edition
Author: Deepak Gupta,Aditya Khamparia,Ashish Khanna,Oscar Castillo (Editor)
Publisher Finelybook 出版社: ; 1st ed. 2022 edition (January 31, 2022)
Language 语言: English
pages 页数: 173 pages
ISBN-10 书号: 3030920259
ISBN-13 书号: 9783030920258
Book Description
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 Author: 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.
