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Combinations of Intelligent Methods and Applications

Overview of attention for book
Cover of 'Combinations of Intelligent Methods and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Agents: Integrating Multiple Components Through a Symbolic Structure
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    Chapter 2 An Architecture for Multi-Dimensional Temporal Abstraction Supporting Decision Making in Oil-Well Drilling
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    Chapter 3 A New Impulse Noise Filtering Algorithm Based on a Neuro-Fuzzy Network
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    Chapter 4 A Fuzzy System for Educational Tasks for Children with Reading and Writing Disabilities
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    Chapter 5 Optimizing the Performance of a Refrigeration System Using an Invasive Weed Optimization Algorithm
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    Chapter 6 A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Engineering Optimization
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    Chapter 7 Hybrid Approach of Genetic Programming and Quantum-Behaved Particle Swarm Optimization for Modeling and Optimization of Fermentation Processes
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    Chapter 8 Hybrid Client Specific Discriminant Analysis and its Application to Face Verification
Attention for Chapter 1: Intelligent Agents: Integrating Multiple Components Through a Symbolic Structure
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Citations

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Chapter title
Intelligent Agents: Integrating Multiple Components Through a Symbolic Structure
Chapter number 1
Book title
Combinations of Intelligent Methods and Applications
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-36651-2_1
Book ISBNs
978-3-64-236650-5, 978-3-64-236651-2
Authors

Razvan Dinu, Tiberiu Stratulat, Jacques Ferber

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Student > Bachelor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%

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