Téléchargez le livre : Natural Computing for Unsupervised Learning

Natural Computing for Unsupervised Learning

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Éditeur :

Springer


Collection :

Unsupervised and Semi-Supervised Learning

Paru le : 2018-10-31

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Description

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
Pages
273 pages
Collection
Unsupervised and Semi-Supervised Learning
Parution
2018-10-31
Marque
Springer
EAN papier
9783319985657
EAN PDF
9783319985664
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
8182 Ko
Prix
94,94 €
EAN EPUB
9783319985664
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
23368 Ko
Prix
94,94 €

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