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

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Publisher ‏ : ‎ Springer; 1st ed. 2022 edition (January 31, 2022)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 173 pages
ISBN-10 ‏ : ‎ 3030920259
ISBN-13 ‏ : ‎ 978-3030920258
Item Weight ‏ : ‎ 15 ounces
Dimensions ‏ : ‎ 6.14 x 0.44 x 9.21 inches

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

In today’s data-driven world, the ability to analyze and make sense of vast amounts of information is crucial. Soft computing, a branch of computer science that deals with fuzzy logic, neural networks, and genetic algorithms, offers a promising approach to tackle complex data analytics tasks.

In the book “Soft Computing for Data Analytics, Classification Model, and Control,” readers will explore the latest advances in soft computing techniques for data analysis, classification modeling, and control systems. The book provides a comprehensive overview of the theoretical foundations and practical applications of soft computing in various domains.

From machine learning algorithms to optimization techniques, the book covers a wide range of topics related to soft computing and its applications in data analytics. Readers will learn how to build robust classification models, optimize control systems, and extract valuable insights from large datasets using soft computing techniques.

Whether you are a researcher, practitioner, or student interested in data analytics and soft computing, this book is a valuable resource that will help you stay ahead of the curve. Dive into the world of soft computing and discover how these powerful techniques can revolutionize the way we analyze data, build models, and control systems.
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