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Computational Intelligence Applications in Modeling and Control

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Cover of 'Computational Intelligence Applications in Modeling and Control'

Table of Contents

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    Book Overview
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    Chapter 1 An Investigation into Accuracy of CAMEL Model of Banking Supervision Using Rough Sets
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    Chapter 2 Towards Intelligent Distributed Computing: Cell-Oriented Computing
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    Chapter 3 Application of Genetic Algorithms for the Estimation of Ultrasonic Parameters
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    Chapter 4 A Hybridized Approach for Prioritizing Software Requirements Based on K-Means and Evolutionary Algorithms
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    Chapter 5 One-Hour Ahead Electric Load Forecasting Using Neuro-fuzzy System in a Parallel Approach
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    Chapter 6 A Computational Intelligence Optimization Algorithm Based on the Behavior of the Social-Spider
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    Chapter 7 Black Hole Algorithm and Its Applications
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    Chapter 8 Genetic Algorithm Based Multiobjective Bilevel Programming for Optimal Real and Reactive Power Dispatch Under Uncertainty
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    Chapter 9 A Monitoring-Maintenance Approach Based on Fuzzy Petri Nets in Manufacturing Systems with Time Constraints
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    Chapter 10 Box and Jenkins Nonlinear System Modelling Using RBF Neural Networks Designed by NSGAII
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    Chapter 11 Back-Propagation Neural Network for Gender Determination in Forensic Anthropology
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    Chapter 12 Neural Network Approach to Fault Location for High Speed Protective Relaying of Transmission Lines
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    Chapter 13 A New Approach for Flexible Queries Using Fuzzy Ontologies
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    Chapter 14 An Efficient Multi Level Thresholding Method for Image Segmentation Based on the Hybridization of Modified PSO and Otsu’s Method
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    Chapter 15 IK-FA, a New Heuristic Inverse Kinematics Solver Using Firefly Algorithm
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    Chapter 16 Computer Aided Intelligent Breast Cancer Detection: Second Opinion for Radiologists—A Prospective Study
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Citations

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141 Dimensions

Readers on

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55 Mendeley
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Title
Computational Intelligence Applications in Modeling and Control
Published by
Springer International Publishing, December 2014
DOI 10.1007/978-3-319-11017-2
ISBNs
978-3-31-911016-5, 978-3-31-911017-2
Editors

Azar, Ahmad Taher, Vaidyanathan, Sundarapandian

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Student > Master 5 9%
Lecturer 3 5%
Student > Doctoral Student 2 4%
Researcher 2 4%
Other 5 9%
Unknown 24 44%
Readers by discipline Count As %
Computer Science 12 22%
Engineering 10 18%
Earth and Planetary Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Social Sciences 1 2%
Other 2 4%
Unknown 28 51%