Name: Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions (Emerald Points) (en Inglés)
Price: 1517.63 MXN
Availability: InStock
Author: Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii Tyshchenko
ISBN: 9781838671747

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portada Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions (Emerald Points) (en Inglés)

Formato

Libro Físico

Editorial

Emerald Group Pub Ltd

Autor

Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii Tyshchenko

Año

2019

Idioma

Inglés

N° páginas

120

Encuadernación

Tapa Blanda

ISBN13

9781838671747

Categorías

Gestión de proyectos de investigación y desarrollo

Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions (Emerald Points) (en Inglés)

Zhengbing Hu; Yevgeniy V. Bodyanskiy; Oleksii Tyshchenko (Autor) · Emerald Group Pub Ltd · Tapa Blanda

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Reseña del libro "Self-Learning and Adaptive Algorithms for Business Applications: A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions (Emerald Points) (en Inglés)"

In todays data-driven world, more sophisticated algorithms for data processing are in high demand, mainly when the data cannot be handled with the help of traditional techniques. Self-learning and adaptive algorithms are now widely used by such leading giants that as Google, Tesla, Microsoft, and Facebook in their projects and applications. <div>In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear. Including research relevant to those studying cybernetics, applied mathematics, statistics, engineering, and bioinformatics who are working in the areas of machine learning, artificial intelligence, complex system modeling and analysis, neural networks, and optimization, this is an ideal read for anyone interested in learning more about the fascinating new developments in machine learning. </div>