Computational Intelligence : A Methodological Introduction

Rudolf Kruse

ISBN 10: 3030422267 / ISBN 13: 9783030422264

Published by Springer, Berlin, Vieweg+Teubner-Verlag, Springer, 2022

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 behaviorin 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.

Seller Inventory # 9783030422264

Bibliographic Details

• Title: Computational Intelligence : A Methodological Introduction
• Publisher: Springer, Berlin, Vieweg+Teubner-Verlag, Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030422267
• ISBN 13: 9783030422264
• Binding: Buch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 240W x 160H x 20D millimeters 240 millimeters width by 160 millimeters height by 20 millimeters depth
• Weight: 1045 grams

About this title

Synopsis

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.

About the Author

Dr. Rudolf Kruse is the former leader of the Computational Intelligence Research Group and now Emeritus Professor of the Department of Computer Science at the University of Magdeburg, Germany. Dr. Sanaz Mostaghim is a full Professor of Computer Science and Dr. Christian Braune is a Senior Lecturer at the same institution. Dr. Christian Borgelt is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. Dr. Matthias Steinbrecher is a Development Architect at SAP SE, Potsdam, Germany.