Computational Intelligence (eBook)

Geben Sie eine Produktbewertung ab.

A Methodological Introduction

Autor: Rudolf Kruse

CHF 71.00

ISBN: 978-3-030-42227-1

Einband: PDF

Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)

Menge:

+ -

Computational intelligence comprises concepts, paradigms, algorithms, and implementations of systems that are intended to exhibit intelligent behavior in complex environments. It relies heavily on (at least) nature-inspired methods, which have the advantage that they tolerate incomplete, imprecise and uncertain knowledge and thus also facilitate finding solutions that are approximative, manageable and robust at the same time.

Fully updated, this new edition of the authoritative textbook provides a clear and logical introduction to Computational Intelligence, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. Rather than aim for completeness, the goal is to give a methodical introduction, supporting fundamental concepts and their implementations with explanation of the theoretical background of proposed problem solutions.

Topics and features:

Offers new material on deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms
Contains numerous classroom-tested examples and definitions
Discusses in detail the classical areas of artificial neural networks, fuzzy systems, evolutionary algorithms, and Bayes and Markov networks
Reviews the latest developments, including such topics as ant colony optimization and probabilistic graphical models
Provides supplementary material, including module descriptions, lecture slides, exercises with solutions, and software tools

This seminal textbook is primarily meant as a companion book for lectures on the covered topics in the area of computational intelligence. However, it is also eminently suitable as a guidebook for self-study by students and practitioners from industry and commerce.

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.

Autor	Kruse, Rudolf / Mostaghim, Sanaz / Borgelt, Christian / Braune, Christian / Steinbrecher, Matthias
Verlag	Springer Nature Switzerland
Einband	PDF
Erscheinungsjahr	2022
Seitenangabe	639 S.
Ausgabekennzeichen	Englisch
Abbildungen	XIV, 639 p. 324 illus., 42 illus. in color.
Auflage	3rd ed. 2022