Natural Computing for Unsupervised Learning

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Li, Xiangtao (Editor), Wong, Ka-Chun (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Unsupervised and Semi-Supervised Learning,
Subjects:
Telecommunication.
Signal processing.
Pattern recognition systems.
Artificial intelligence.
Data mining.
Communications Engineering, Networks.
Signal, Speech and Image Processing.
Automated Pattern Recognition.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Online Access:Full-text access

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