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Natural Computing for Unsupervised Learning

Autor: Xiangtao Li, Ka-Chun Wong

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

99.69 €

This book highlights recent research advances in unsupervised learning using natural computing techn...

Informácie o knihe

Autor

Xiangtao Li, Ka-Chun Wong

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2018

Stránok

273

EAN

9783319985657

ISBN

3319985655

Enbook ID

19777031

Vydavateľ

Springer International Publishing AG

Hmotnosť

588

Rozmery

155 x 235 x 21

Kompletný popis

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 multi-objective algorithms and many-objective swarm intelligence algorithms

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