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Computational Intelligence

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Cover of 'Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Computational Intelligence
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    Chapter 2 Fuzzy Sets and Relations
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    Chapter 3 Fuzzy Logic and Approximate Reasoning
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    Chapter 4 Fuzzy Logic in Process Control
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    Chapter 5 Fuzzy Pattern Recognition
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    Chapter 6 Fuzzy Databases and Possibilistic Reasoning
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    Chapter 7 Introduction to Machine Learning Using Neural Nets
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    Chapter 8 Supervised Neural Learning Algorithms
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    Chapter 9 Unsupervised Neural Learning Algorithms
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    Chapter 10 Competitive Learning Using Neural Nets
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    Chapter 11 Neuro-dynamic Programming by Reinforcement Learning
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    Chapter 12 Evolutionary Computing Algorithms
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    Chapter 13 Belief Calculus and Probabilistic Reasoning
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    Chapter 14 Reasoning in Expert Systems Using Fuzzy Petri Nets
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    Chapter 15 Fuzzy Models for Face Matching and Mood Detection
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    Chapter 16 Behavioral Synergism of Soft Computing Tools
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    Chapter 17 Object Recognition from Gray Images Using Fuzzy ADALINE Neurons
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    Chapter 18 Distributed Machine Learning Using Fuzzy Cognitive Maps
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    Chapter 19 Machine Learning Using Fuzzy Petri Nets
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    Chapter 20 Computational Intelligence in Tele-Communication Networks
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    Chapter 21 Computational Intelligence in Mobile Robotics
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    Chapter 22 Emerging Areas of Computational Intelligence
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    Chapter 23 Research Problems for Graduate Thesis and Pre-Ph D Preparatory Courses
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99 Mendeley
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Title
Computational Intelligence
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/b138935
ISBNs
978-3-54-020898-3, 978-3-54-027335-6
Authors

Konar, Amit

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Brazil 1 1%
South Africa 1 1%
Canada 1 1%
Mexico 1 1%
Spain 1 1%
Unknown 93 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Student > Master 20 20%
Researcher 8 8%
Professor > Associate Professor 8 8%
Student > Bachelor 7 7%
Other 17 17%
Unknown 17 17%
Readers by discipline Count As %
Computer Science 34 34%
Engineering 16 16%
Agricultural and Biological Sciences 4 4%
Business, Management and Accounting 3 3%
Mathematics 3 3%
Other 16 16%
Unknown 23 23%