Natural Computing for Unsupervised Learning

• Corporate Author: SpringerLink (Online service)
• Other Authors: Li, Xiangtao (Editor, http://id.loc.gov/vocabulary/relators/edt), Wong, Ka-Chun (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Unsupervised and Semi-Supervised Learning,
• Subjects: Electrical engineering.; Signal processing.; Image processing.; Speech processing systems.; Pattern recognition.; Artificial intelligence.; Data mining.; Communications Engineering, Networks.; Signal, Image and Speech Processing.; Pattern Recognition.; Artificial Intelligence.; Data Mining and Knowledge Discovery.

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...