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Self-Learning And Adaptive Algorithms For Business Applications eBook

A Guide To Adaptive Neuro-Fuzzy Systems For Fuzzy Clustering Under Uncertainty Conditions

by Zhengbing Hu, Oleksii Tyshchenko e Yevgeniy V. Bodyanskiy
language: english
Publisher: Emerald Publishing Limited, June of 2019 ‧
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In today’s 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. 
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.

Self-Learning And Adaptive Algorithms For Business Applications

A Guide To Adaptive Neuro-Fuzzy Systems For Fuzzy Clustering Under Uncertainty Conditions

by Zhengbing Hu, Oleksii Tyshchenko e Yevgeniy V. Bodyanskiy

Property Description
ISBN: 9781838671730
Publisher: Emerald Publishing Limited
Release Date: June of 2019
Language: English
Format: eBook
File Format and Compatibility:
Collection: Emerald Points
Categories: eBooks in English > Management > Management and Organization
EAN: 9781838671730
Acessibilidade: Ver características de acessibilidade indicadas pelo editor