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Könyv Natural Computing for Unsupervised Learning Xiangtao Li

Natural Computing for Unsupervised Learning

Szerző: Xiangtao Li, Ka-Chun Wong
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
38 497 Ft
This book highlights recent research advances in unsupervised learning using natural computing techn...

Információk a könyvről

Szerző
Xiangtao Li, Ka-Chun Wong
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2018
oldal
273
EAN
9783319985657
ISBN
3319985655
Enbook ID
19777031
Kiadó
Springer International Publishing AG
Súly
588
Méretek
155 x 235 x 21

Teljes leírás

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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