Description: Self-Learning and Adaptive Algorithms for Business Applications : A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering Under Uncertainty Conditions, Paperback by Hu, Zhengbing; Bodyanskiy, Yevgeniy V.; Tyshchenko, Oleksii K., ISBN 1838671749, ISBN-13 9781838671747, Like New Used, Free shipping in the US 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 Fac 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.
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Book Title: Self-Learning and Adaptive Algorithms for Business Applications :
Number of Pages: 120 Pages
Language: English
Publication Name: Self-Learning and Adaptive Algorithms for Business Applications : A Guide to Adaptive Neuro-Fuzzy Systems for Fuzzy Clustering under Uncertainty Conditions
Publisher: Emerald Publishing The Limited
Publication Year: 2019
Subject: Computer Science, Research & Development, Algebra / General, System Theory, Information Technology
Item Weight: 4.8 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Science, Business & Economics
Author: Oleksii Tyshchenko, Zhengbing Hu, Yevgeniy V. Bodyanskiy
Item Length: 7.8 in
Item Width: 5.1 in
Series: Emerald Points Ser.
Format: Trade Paperback
