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Complex System Modelling and Control Through Intelligent Soft Computations

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Cover of 'Complex System Modelling and Control Through Intelligent Soft Computations'

Table of Contents

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    Book Overview
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    Chapter 1 Design and Modeling of Anti Wind Up PID Controllers
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    Chapter 2 A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm
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    Chapter 3 Fuzzy Adaptive Controller for a DFI-Motor
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    Chapter 4 Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map
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    Chapter 5 Leukocyte Detection Through an Evolutionary Method
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    Chapter 6 PWARX Model Identification Based on Clustering Approach
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    Chapter 7 Supplier Quality Evaluation Using a Fuzzy Multi Criteria Decision Making Approach
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    Chapter 8 Concept Trees: Building Dynamic Concepts from Semi-structured Data Using Nature-Inspired Methods
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    Chapter 9 Swarm Intelligence Techniques and Their Adaptive Nature with Applications
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    Chapter 10 Signal Based Fault Detection and Diagnosis for Rotating Electrical Machines: Issues and Solutions
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    Chapter 11 Modelling of Intrusion Detection System Using Artificial Intelligence—Evaluation of Performance Measures
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    Chapter 12 Enhanced Power System Security Assessment Through Intelligent Decision Trees
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    Chapter 13 Classification of Normal and Epileptic Seizure EEG Signals Based on Empirical Mode Decomposition
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    Chapter 14 A Rough Set Based Total Quality Management Approach in Higher Education
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    Chapter 15 Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems
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    Chapter 16 Household Electrical Consumptions Modeling and Management Through Neural Networks and Fuzzy Logic Approaches
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    Chapter 17 Modeling, Identification and Control of Irrigation Station with Sprinkling: Takagi-Sugeno Approach
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    Chapter 18 Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches
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    Chapter 19 Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach
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    Chapter 20 Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter
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    Chapter 21 Soft Computing Techniques for Optimal Capacitor Placement
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    Chapter 22 Advanced Metaheuristics-Based Approach for Fuzzy Control Systems Tuning
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    Chapter 23 Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis
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    Chapter 24 Unit Commitment Optimization Using Gradient-Genetic Algorithm and Fuzzy Logic Approaches
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    Chapter 25 Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances
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    Chapter 26 A Neural Approach to Cursive Handwritten Character Recognition Using Features Extracted from Binarization Technique
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    Chapter 27 System Identification Technique and Neural Networks for Material Lifetime Assessment Application
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    Chapter 28 Measuring Software Reliability: A Trend Using Machine Learning Techniques
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    Chapter 29 Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks
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Citations

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Title
Complex System Modelling and Control Through Intelligent Soft Computations
Published by
Springer International Publishing, November 2014
DOI 10.1007/978-3-319-12883-2
ISBNs
978-3-31-912882-5, 978-3-31-912883-2
Editors

Zhu, Quanmin, Azar, Ahmad Taher

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Student > Master 14 19%
Researcher 9 13%
Student > Bachelor 5 7%
Professor 5 7%
Other 11 15%
Unknown 6 8%
Readers by discipline Count As %
Engineering 37 51%
Computer Science 17 24%
Agricultural and Biological Sciences 2 3%
Medicine and Dentistry 2 3%
Energy 1 1%
Other 4 6%
Unknown 9 13%