Intelligent Computing
Concepts, Principles and Applications
- Publisher's listprice EUR 80.24
-
33 279 Ft (31 694 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 6 656 Ft off)
- Discounted price 26 623 Ft (25 355 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
33 279 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Springer Nature Singapore
- Date of Publication 12 January 2026
- Number of Volumes 1 pieces, Book
- ISBN 9789819697892
- Binding Hardback
- No. of pages225 pages
- Size 235x155 mm
- Language English
- Illustrations IX, 225 p. 95 illus., 26 illus. in color. 700
Categories
Long description:
Intelligent computing is a computational approach primarily inspired by the objective laws governing biological groups in nature, as well as the behaviors of biological thinking and movement. It encompasses various algorithmic fields such as evolutionary computation, swarm intelligence computation, neural computation, and more. These algorithms typically achieve the goals of intelligent computing by simulating the distinctive functions of certain species in nature or specific characteristics of natural phenomena. By programming and executing the collective wisdom of biological groups and leveraging natural laws, optimization algorithms with intelligent essence are designed.
This book serves as an introduction to widely used and common intelligent computing methods. It covers fundamental concepts, principles, model characteristics, and typical application examples of various intelligent computing methods. Additionally, it provides the latest examples along with corresponding Matlab or Python codes, facilitating readers in deepening their understanding and reproducing the content. The target audience for this book includes senior undergraduate and graduate students majoring in automation, artificial intelligence, intelligent science and technology, computer science, and related fields. It can also serve as a valuable self-study reference for professionals in computer science, artificial intelligence, and related disciplines.
MoreTable of Contents:
"
""Chapter 1: Introduction"".- ""Chapter 2: Evolutionary Computing"".- ""Chapter 3: Swarm Intelligence Computing"".- ""Chapter 4: Neural Computing"".- ""Chapter 5: Machine Learning"".
" More
