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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

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Cover of 'Recent Advances on Hybrid Approaches for Designing Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Algorithm Optimization for Type-2 Non-singleton Fuzzy Logic Controllers
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    Chapter 2 Hierarchical Genetic Algorithms for Type-2 Fuzzy System Optimization Applied to Pattern Recognition and Fuzzy Control
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    Chapter 3 Designing Type-2 Fuzzy Systems Using the Interval Type-2 Fuzzy C-Means Algorithm
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    Chapter 4 Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning with Gaussian Membership Functions
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    Chapter 5 A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System used to Dynamic Parameter Adaptation in Particle Swarm Optimization
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    Chapter 6 Genetic Optimization of Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction
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    Chapter 7 Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction
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    Chapter 8 Uncertainty-Based Information Granule Formation
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    Chapter 9 A Type 2 Fuzzy Neural Network Ensemble to Estimate Time Increased Probability of Seismic Hazard in North Region of Baja California Peninsula
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    Chapter 10 Shipwrecked on Fear: Selection of Electives in School Minorities in a University Using Cuckoo Search Algorithm
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    Chapter 11 An Admission Control and Channel Allocation Algorithm Based on Particle Swarm Optimization for Cognitive Cellular Networks
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    Chapter 12 Optimization of Fuzzy Controllers Design Using the Bee Colony Algorithm
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    Chapter 13 Optimization of Benchmark Mathematical Functions Using the Firefly Algorithm
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    Chapter 14 Optimization of Fuzzy Control Systems for Mobile Robots Based on PSO
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    Chapter 15 Design of a Fuzzy System for Flight Control of an F-16 Airplane
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    Chapter 16 Bat Algorithm Comparison with Genetic Algorithm Using Benchmark Functions
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    Chapter 17 Comparative Study of Social Network Structures in PSO
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    Chapter 18 Comparison of the Optimal Design of Fuzzy Controllers for the Water Tank Using Ant Colony Optimization
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    Chapter 19 Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers
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    Chapter 20 A Fuzzy Control Design for an Autonomous Mobile Robot Using Ant Colony Optimization
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    Chapter 21 Optimization of Modular Neural Networks with the LVQ Algorithm for Classification of Arrhythmias Using Particle Swarm Optimization
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    Chapter 22 A DTCNN Approach on Video Analysis: Dynamic and Static Object Segmentation
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    Chapter 23 Identification of Epilepsy Seizures Using Multi-resolution Analysis and Artificial Neural Networks
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    Chapter 24 Temporal Validated Meta-Learning for Long-Term Forecasting of Chaotic Time Series Using Monte Carlo Cross-Validation
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    Chapter 25 MLP for Electroencephalographic Signals Classification Using Different Adaptive Learning Algorithm
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    Chapter 26 Chemical Optimization Method for Modular Neural Networks Applied in Emotion Classification
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    Chapter 27 Comparing Metaheuristic Algorithms on the Training Process of Spiking Neural Networks
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    Chapter 28 A Hybrid Method Combining Modular Neural Networks with Fuzzy Integration for Human Identification Based on Hand Geometric Information
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    Chapter 29 Echocardiogram Image Recognition Using Neural Networks
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    Chapter 30 Face Recognition with Choquet Integral in Modular Neural Networks
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    Chapter 31 A Survey of Decomposition Methods for Multi-objective Optimization
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    Chapter 32 A Decision Support System Framework for Public Project Portfolio Selection with Argumentation Theory
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    Chapter 33 Generic Memetic Algorithm for Course Timetabling ITC2007
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    Chapter 34 Characterization of the Optimization Process
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    Chapter 35 A New Integer Linear Programming Model for the Cutwidth Minimization Problem of a Connected Undirected Graph
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    Chapter 36 On the Exact Solution of VSP for General and Structured Graphs: Models and Algorithms
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    Chapter 37 Preference Incorporation into Evolutionary Multiobjective Optimization Using a Multi-Criteria Evaluation Method
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    Chapter 38 A Loading Procedure for the Containership Stowage Problem
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    Chapter 39 Quality-Assessment Model for Portfolios of Projects Expressed by a Priority Ranking
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    Chapter 40 Exact Methods for the Vertex Bisection Problem
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    Chapter 41 Using a Graph Based Database to Support Collaborative Interactive Evolutionary Systems
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    Chapter 42 Fuzzy Labeling of Users in an Educational Intelligent Environment Using an Activity Stream
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    Chapter 43 Automatic Estimation of Flow in Intelligent Tutoring Systems Using Neural Networks
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    Chapter 44 Features and Pitfalls that Users Should Seek in Natural Language Interfaces to Databases
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    Chapter 45 Step Length Estimation and Activity Detection in a PDR System Based on a Fuzzy Model with Inertial Sensors
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    Chapter 46 Geo-Navigation for a Mobile Robot and Obstacle Avoidance Using Fuzzy Controllers
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    Chapter 47 Ad Text Optimization Using Interactive Evolutionary Computation Techniques
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    Chapter 48 Using Semantic Representations to Facilitate the Domain-Knowledge Portability of a Natural Language Interface to Databases
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    Chapter 49 Post-Filtering for a Restaurant Context-Aware Recommender System
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    Chapter 50 Design of Fuzzy Controllers for a Hexapod Robot
Overall attention for this book and its chapters
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Citations

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Title
Recent Advances on Hybrid Approaches for Designing Intelligent Systems
Published by
Springer International Publishing, March 2014
DOI 10.1007/978-3-319-05170-3
ISBNs
978-3-31-905169-7, 978-3-31-905170-3
Editors

Castillo, Oscar, Melin, Patricia, Pedrycz, Witold, Kacprzyk, Janusz

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 28%
Student > Master 19 22%
Student > Doctoral Student 7 8%
Student > Bachelor 6 7%
Researcher 5 6%
Other 12 14%
Unknown 14 16%
Readers by discipline Count As %
Computer Science 35 40%
Engineering 21 24%
Business, Management and Accounting 3 3%
Decision Sciences 2 2%
Neuroscience 2 2%
Other 6 7%
Unknown 18 21%