Computational Intelligence: A Methodological Introduction (Texts in Computer Science) - Softcover

Kruse, Rudolf; Borgelt, Christian; Klawonn, Frank; Moewes, Christian; Steinbrecher, Matthias; Held, Pascal

Softcover

ISBN 10: 1447158490 ISBN 13: 9781447158493

Publisher: Springer, 2015

Synopsis

This classroom-tested book discusses artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networks, covering ant colony optimization and probabilistic graphical models. Includes examples, illustrations and definitions throughout.

About this title

Review:

From the reviews:

“This book teaches computational intelligence (CI) in a thorough, methodological manner that is theoretically profound and educationally oriented. ... this book is well designed for the independent student who wishes to learn the fundamentals of CI without the need for an instructor. The organization and thorough step-by-step methodology makes it an excellent startup guide for someone who wants to learn CI ... . This book is targeted at beginners, students, or professionals who wish to understand CI.” (Mario Antoine Aoun, Computing Reviews, February, 2014)

“The book under review is a textbook that features sub-symbolic approaches developed within the field of Artificial Intelligence ... . It can be used as a companion book for lectures, with exercises and slides to be found on the book’s website. With its focus on sub-symbolic approaches, it presents a comprehensive and detailled source of information complementary to other commonly used textbooks in Artificial Intelligence that mostly focus on symbolic approaches.” (Jana Köhler, zbMATH, Vol. 1283, 2014)

“The book is a comprehensive treatise on computational intelligence with a focus on the underlying methodology and algorithms. ... The reader can enjoy a comprehensive and systematically arranged exposure of the material. ... The references following each chapter can serve as a list of introductory readings on the individual areas of computational intelligence. ... the reader gains a good sense of computational intelligence as an important endeavor supporting analysis and synthesis of intelligent systems. ... a useful compendium of knowledge for a broad audience.” (Witold Pedrycz, Mathematical Reviews, November, 2013)

From the Back Cover:

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.

About this edition

• Publisher: Springer
• Publication date: 2015
• ISBN 10: 1447158490
• ISBN 13: 9781447158493
• Binding: Paperback
• Number of pages: 504