|
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
|
Buy Now
Natural Computing for Unsupervised Learning (Hardcover, 1st ed. 2019)
Loot Price: R2,677
Discovery Miles 26 770
|
|
|
Natural Computing for Unsupervised Learning (Hardcover, 1st ed. 2019)
Series: Unsupervised and Semi-Supervised Learning
Expected to ship within 18 - 22 working days
|
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
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.