| 书目名称 | Soft Computing for Data Analytics, Classification Model, and Control | | 编辑 | Deepak Gupta,Aditya Khamparia,Oscar Castillo | | 视频video | | | 概述 | Presents improved fuzzy sets and intelligent and optimization algorithms.Bridges between data science, machine learning and soft computing methods.Covers applications of metaheuristics in medical imag | | 丛书名称 | Studies in Fuzziness and Soft Computing | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2022 | | 关键词 | Social Spider Optimization; Fuzzy Logic in Computational Biology; Gravitational Search Algorithm; Medic | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-92026-5 | | isbn_softcover | 978-3-030-92028-9 | | isbn_ebook | 978-3-030-92026-5Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:38:43
