WorldCat Linked Data Explorer

Turtle N-Triple JSON-LD RDF/XML HTML Contact Us Home

http://worldcat.org/entity/work/id/1433907456

Computational intelligence : a methodological introduction

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 toolsContains numerous examples and definitions throughout the textPresents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networksCovers the latest approaches, including ant colony optimization and probabilistic graphical modelsWritten by a team of highly-regarded experts in CI, with extensive experience in both academia and industryStudents 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.

Open All Close All

type

about

http://schema.org/about

contributor

creator

description

http://schema.org/description

  • "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 toolsContains numerous examples and definitions throughout the textPresents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networksCovers the latest approaches, including ant colony optimization and probabilistic graphical modelsWritten by a team of highly-regarded experts in CI, with extensive experience in both academia and industryStudents 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.--[Source inconnue]."
  • "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 toolsContains numerous examples and definitions throughout the textPresents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networksCovers the latest approaches, including ant colony optimization and probabilistic graphical modelsWritten by a team of highly-regarded experts in CI, with extensive experience in both academia and industryStudents 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."@en
  • "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 toolsContains numerous examples and definitions throughout the textPresents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networksCovers the latest approaches, including ant colony optimization and probabilistic graphical modelsWritten by a team of highly-regarded experts in CI, with extensive experience in both academia and industryStudents 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."
  • "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."

genre

http://schema.org/genre

  • "Electronic books"@en

name

http://schema.org/name

  • "Computational intelligence a methodological introduction"
  • "Computational intelligence : a methodological introduction"
  • "Computational intelligence : a methodological introduction"@en
  • "Computational Intelligence A Methodological Introduction"

workExample