Natural Computing for Unsupervised Learning
Language: English
Published by Springer International Publishing, 2018
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Xiangtao Li received the B.Eng. Degree, the M.Eng. and Ph.D. degrees in computer science from Northeast Normal University, Changchun, China in 2009, 2012, 2015, respectively. Now He is an associate professor in the Department of Computer science and in.
Seller Inventory # 234946101
- Title
- Natural Computing for Unsupervised Learning
- Author
- Li, Xiangtao|Wong, Ka-Chun
- Publisher
- Springer International Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3319985655
- ISBN 13
- 9783319985657
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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