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Computational Intelligence: A Methodological Introduction

ISBN-13: 9781447158493 / Angielski / Miękka / 2015 / 492 str.

Rudolf Kruse; Christian Borgelt; Frank Klawonn
Computational Intelligence: A Methodological Introduction Kruse, Rudolf 9781447158493 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Computational Intelligence: A Methodological Introduction

ISBN-13: 9781447158493 / Angielski / Miękka / 2015 / 492 str.

Rudolf Kruse; Christian Borgelt; Frank Klawonn
cena 242,07 zł
(netto: 230,54 VAT:  5%)

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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.

Kategorie:
Informatyka, Bazy danych
Kategorie BISAC:
Mathematics > Matematyka stosowana
Computers > Artificial Intelligence - General
Technology & Engineering > Engineering (General)
Wydawca:
Springer
Seria wydawnicza:
Texts in Computer Science
Język:
Angielski
ISBN-13:
9781447158493
Rok wydania:
2015
Wydanie:
2013
Numer serii:
000215067
Ilość stron:
492
Waga:
0.69 kg
Wymiary:
23.39 x 15.6 x 2.57
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

From the reviews:

"This book teaches computational intelligence (CI) in a thorough, methodological manner that is theoretically profound and educationally oriented. ... this book is well designed for the independent student who wishes to learn the fundamentals of CI without the need for an instructor. The organization and thorough step-by-step methodology makes it an excellent startup guide for someone who wants to learn CI ... . This book is targeted at beginners, students, or professionals who wish to understand CI." (Mario Antoine Aoun, Computing Reviews, February, 2014)

"The book under review is a textbook that features sub-symbolic approaches developed within the field of Artificial Intelligence ... . It can be used as a companion book for lectures, with exercises and slides to be found on the book's website. With its focus on sub-symbolic approaches, it presents a comprehensive and detailled source of information complementary to other commonly used textbooks in Artificial Intelligence that mostly focus on symbolic approaches." (Jana Köhler, zbMATH, Vol. 1283, 2014)

"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)

Introduction

Part I: Neural Networks

Introduction

Threshold Logic Units

General Neural Networks

Multi-Layer Perceptrons

Radial Basis Function Networks

Self-Organizing Maps

Hopfield Networks

Recurrent Networks

Mathematical Remarks

Part II: Evolutionary Algorithms

Introduction to Evolutionary Algorithms

Elements of Evolutionary Algorithms

Fundamental Evolutionary Algorithms

Special Applications and Techniques

Part III: Fuzzy Systems

Fuzzy Sets and Fuzzy Logic

The Extension Principle

Fuzzy Relations

Similarity Relations

Fuzzy Control

Fuzzy Clustering

Part IV: Bayes Networks

Introduction to Bayes Networks

Elements of Probability and Graph Theory

Decompositions

Evidence Propagation

Learning Graphical Models

Rudolf Kruse is a full professor at the Department of Computer Science of the Otto-von-Guericke University of Magdeburg, Germany, where he leads the working group on computational intelligence. Christian Moewes and Pascal Held are research assistants at the same institution. Christian Borgelt is a principal researcher at the European Centre for Soft Computing, Mieres, Spain. Frank Klawonn is a Professor at the Department of Computer Science of Ostfalia University of Applied Sciences, Wolfenbüttel, Germany. Matthias Steinbrecher is a member of the SAP Innovation Center, Potsdam, Germany.

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.

Kruse, Rudolf Kruse-Univ. of Magdeburg, Germany... więcej >


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