Computational Intelligence : A Methodological Introduction, Rudolf Kruse

3338hc
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eBay item number:254522523886
Last updated on Aug 26, 2023 09:30:50 PDTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Topic
Computers, Computing
ISBN
9781447150121
Subject Area
Mathematics, Computers
Publication Name
Computational Intelligence : a Methodological Introduction
Publisher
Springer
Item Length
9.3 in
Subject
Intelligence (Ai) & Semantics, Applied
Publication Year
2013
Series
Texts in Computer Science Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.4 in
Author
Frank Klawonn, Matthias Steinbrecher, Christian Borgelt, Rudolf Kruse, Christian Moewes
Item Weight
32.2 Oz
Item Width
6.1 in
Number of Pages
Xii, 492 Pages
Category

About this product

Product Identifiers

Publisher
Springer
ISBN-10
1447150120
ISBN-13
9781447150121
eBay Product ID (ePID)
160016548

Product Key Features

Number of Pages
Xii, 492 Pages
Publication Name
Computational Intelligence : a Methodological Introduction
Language
English
Publication Year
2013
Subject
Intelligence (Ai) & Semantics, Applied
Type
Textbook
Author
Frank Klawonn, Matthias Steinbrecher, Christian Borgelt, Rudolf Kruse, Christian Moewes
Subject Area
Mathematics, Computers
Series
Texts in Computer Science Ser.
Format
Hardcover

Dimensions

Item Height
0.4 in
Item Weight
32.2 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Reviews
From the reviews: "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)
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.3
Synopsis
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., 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. 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., 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.
LC Classification Number
Q334-342TJ210.2-211

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3338hc

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