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. 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.
- ISBN10 3658109033
- ISBN13 9783658109035
- Publish Date 3 November 2015 (first published 8 September 2011)
- Publish Status Active
- Publish Country DE
- Imprint Springer Vieweg
- Edition 2nd 2., Uberarb. Und Erw. Aufl. 2015 ed.
- Format Paperback (US Trade)
- Pages 515
- Language German