Description: Natural Computing for Unsupervised Learning, Hardcover by Li, Xiangtao (EDT); Wong, Ka-chun (EDT), ISBN 3319985655, ISBN-13 9783319985657, Like New Used, Free shipping in the US
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. Th 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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End Time: 2025-01-16T17:42:31.000Z
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Book Title: Natural Computing for Unsupervised Learning
Number of Pages: VI, 273 Pages
Language: English
Publication Name: Natural Computing for Unsupervised Learning
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Signals & Signal Processing, Natural Language Processing, Telecommunications, Computer Vision & Pattern Recognition
Type: Textbook
Item Weight: 20.7 Oz
Item Length: 9.3 in
Author: Ka-Chun Wong
Subject Area: Computers, Technology & Engineering
Series: Unsupervised and Semi-Supervised Learning Ser.
Item Width: 6.1 in
Format: Hardcover
