Computational Intelligence von Rudolf Kruse | A Methodological Introduction | ISBN 9783030422264

Computational Intelligence

A Methodological Introduction

von Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune und Matthias Steinbrecher
Mitwirkende
Autor / AutorinRudolf Kruse
Autor / AutorinSanaz Mostaghim
Autor / AutorinChristian Borgelt
Autor / AutorinChristian Braune
Autor / AutorinMatthias Steinbrecher
Buchcover Computational Intelligence | Rudolf Kruse | EAN 9783030422264 | ISBN 3-030-42226-7 | ISBN 978-3-030-42226-4

“The book presents a thorough exposition of the main concepts of computational intelligence. … It is an interesting book that may serve very well a wide audience, providing material for researchers, students as well as people working in industry.” (Catalin Stoean, zbMATH 1500.68001, 2023)

“The authors have written Computational intelligence in such a way that it can serve as both a textbook and a helpful reference book for students and practitioners of computing science and related fields. The presentation is careful and friendly yet technically sound.” (Soubhik Chakraborty, Computing Reviews, March 7, 2023)

Computational Intelligence

A Methodological Introduction

von Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune und Matthias Steinbrecher
Mitwirkende
Autor / AutorinRudolf Kruse
Autor / AutorinSanaz Mostaghim
Autor / AutorinChristian Borgelt
Autor / AutorinChristian Braune
Autor / AutorinMatthias Steinbrecher

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.