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Titlebook: Natural Computing for Unsupervised Learning; Xiangtao Li,Ka-Chun Wong Book 2019 Springer International Publishing AG, part of Springer Nat

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发表于 2025-3-21 18:59:38 | 显示全部楼层 |阅读模式
书目名称Natural Computing for Unsupervised Learning
编辑Xiangtao Li,Ka-Chun Wong
视频video
概述Includes advances on unsupervised learning using natural computing techniques.Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning.Features natural computing
丛书名称Unsupervised and Semi-Supervised Learning
图书封面Titlebook: Natural Computing for Unsupervised Learning;  Xiangtao Li,Ka-Chun Wong Book 2019 Springer International Publishing AG, part of Springer Nat
描述.This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning. .Includes advances on unsupervised learning using natural computing techniques.Reports on topics in emerging areas such as evolutionary multi-objective unsupervised learning. .Features natural computing techniques such as evolutionary mu
出版日期Book 2019
关键词Evolutionary Programming; Differential Evolution; Artificial Immune Systems; Ant Colony Optimization; Se
版次1
doihttps://doi.org/10.1007/978-3-319-98566-4
isbn_softcover978-3-030-07508-8
isbn_ebook978-3-319-98566-4Series ISSN 2522-848X Series E-ISSN 2522-8498
issn_series 2522-848X
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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