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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems

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Natural Computing for Unsupervised Learning (Hardcover, 1st ed. 2019) Loot Price: R2,677
Discovery Miles 26 770
Natural Computing for Unsupervised Learning (Hardcover, 1st ed. 2019): Xiangtao Li, Ka-Chun Wong

Natural Computing for Unsupervised Learning (Hardcover, 1st ed. 2019)

Xiangtao Li, Ka-Chun Wong

Series: Unsupervised and Semi-Supervised Learning

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Loot Price R2,677 Discovery Miles 26 770 | Repayment Terms: R251 pm x 12*

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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

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Unsupervised and Semi-Supervised Learning
Release date: November 2018
First published: 2019
Editors: Xiangtao Li • Ka-Chun Wong
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 273
Edition: 1st ed. 2019
ISBN-13: 978-3-319-98565-7
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-98565-5
Barcode: 9783319985657

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