Mohlo by se vám také líbit

Více informací o knize Natural Computing for Unsupervised Learning

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 329 bodů

Anotace knihy

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

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Other technologies & applied sciences Applied optics

• Plný název: Natural Computing for Unsupervised Learning
• Autor: Xiangtao Li, Ka-Chun Wong
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 273
• EAN: 9783319985657
• ISBN: 3319985655
• ID: 19777031
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 588 g
• Rozměry: 235 × 155 × 21 mm
• Datum vydání: 12. November 2018

Oblíbené z jiného soudku

---

---

---