Electronic Resource

Natural Computing for Unsupervised Learning

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001753	EB0002375	006.3 Nat	Central Library	Available

Detail Information

Series Title

Unsupervised and Semi-Supervised Learning

Call Number

006.3 Nat

Publisher

Switzerland : Springer Cham., 2018

Collation

vi, 273p.:Ill

Language

English

ISBN/ISSN

978-3-319-98566-4

Classification

006.3

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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