Natural Computing for Unsupervised Learning
Ka-Chun Wong
From AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
AbeBooks Seller since 14 August 2006
New - Soft cover
Quantity: 1 available
Add to basketFrom AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
AbeBooks Seller since 14 August 2006
Quantity: 1 available
Add to basketAbout this Item
Druck auf Anfrage Neuware - Printed after ordering - 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 techniquesReports 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. Seller Inventory # 9783030075088
Bibliographic Details
Title: Natural Computing for Unsupervised Learning
Publisher: Springer International Publishing, Springer International Publishing
Publication Date: 2018
Binding: Taschenbuch
Condition: Neu
About this title
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
"About this title" may belong to another edition of this title.
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