Computational Intelligence - A Methodological Introduction (3rd ed. 2022)

This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. This enhanced third edition has been fully revised and expanded with new content on deep learning, scalarization methods, large-scale optimization algorithms, and collective decision-making algorithms.  Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Texts in Computer Science
Release date:	March 2023
First published:	2022
Authors:	Rudolf Kruse • Sanaz Mostaghim • Christian Borgelt • Christian Braune • Matthias Steinbrecher
Dimensions:	235 x 155mm (L x W)
Pages:	639
Edition:	3rd ed. 2022
ISBN-13:	978-3-03-042229-5
Subtitles:	German
Categories:	Books Promotions
LSN:	3-03-042229-1
Barcode:	9783030422295

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