Computational intelligence (CI) encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments.
This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their practical implementations, and explains the theoretical background underpinning proposed solutions to common problems. Only a basic knowledge of mathematics is required.
Topics and features:
Provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software tools
Contains numerous examples and definitions throughout the text
Presents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networks
Covers the latest approaches, including ant colony optimization and probabilistic graphical models
Written by a team of highly-regarded experts in CI, with extensive experience in both academia and industry
Students of computer science will find the text a must-read reference for courses on artificial intelligence and intelligent systems. The book is also an ideal self-study resource for researchers and practitioners involved in all areas of CI.
