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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

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Cover of 'Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems
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    Chapter 2 Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Sets
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    Chapter 3 Optimization of the Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction: Case of the Mexican Stock Exchange
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    Chapter 4 A New Proposal for a Granular Fuzzy C-Means Algorithm
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    Chapter 5 Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks
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    Chapter 6 Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series
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    Chapter 7 Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks
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    Chapter 8 Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis
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    Chapter 9 Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO
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    Chapter 10 Evolution of Kernels for Support Vector Machine Classification on Large Datasets
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    Chapter 11 Modular Neural Networks for Time Series Prediction Using Type-1 Fuzzy Logic Integration
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    Chapter 12 An Improved Particle Swarm Optimization Algorithm to Optimize Modular Neural Network Architectures
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    Chapter 13 Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures
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    Chapter 14 Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm for Time Series Prediction
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    Chapter 15 A Type-2 Fuzzy Neural Network Ensemble to Predict Chaotic Time Series
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    Chapter 16 Study of Parameter Variations in the Cuckoo Search Algorithm and the Influence in Its Behavior
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    Chapter 17 A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanisms of Plants
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    Chapter 18 Imperialist Competitive Algorithm Applied to the Optimization of Mathematical Functions: A Parameter Variation Study
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    Chapter 19 An Improved Intelligent Water Drop Algorithm to Solve Optimization Problems
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    Chapter 20 An Improved Simulated Annealing Algorithm for the Optimization of Mathematical Functions
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    Chapter 21 Optimization of Reactive Fuzzy Controllers for Mobile Robots Based on the Chemical Reactions Algorithm
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    Chapter 22 Segmentation of Coronary Angiograms Using a Vesselness Measure and Evolutionary Thresholding
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    Chapter 23 Exploring the Suitability of a Genetic Algorithm as Tool for Boosting Efficiency in Monte Carlo Estimation of Leaf Area of Eelgrass
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    Chapter 24 Obtaining Pharmacokinetic Population Models Using a Genetic Algorithm Approach
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    Chapter 25 Parallel Evolutionary Artificial Potential Field for Path Planning—An Implementation on GPU
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    Chapter 26 Design and Acceleration of a Quantum Genetic Algorithm Through the Matlab GPU Library
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    Chapter 27 Implementing Pool-Based Evolutionary Algorithm in Amazon Cloud Computing Services
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    Chapter 28 An Ant Colony Algorithm for Solving the Selection Portfolio Problem, Using a Quality-Assessment Model for Portfolios of Projects Expressed by a Priority Ranking
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    Chapter 29 A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines
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    Chapter 30 Parallel Meta-heuristic Approaches to the Course Timetabling Problem
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    Chapter 31 Simplification of Decision Rules for Recommendation of Projects in a Public Project Portfolio
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    Chapter 32 A Survey of Grey Systems Applied to Multi-objective Problem
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    Chapter 33 An Efficient Representation Scheme of Candidate Solutions for the Master Bay Planning Problem
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    Chapter 34 Verifying the Effectiveness of an Evolutionary Approach in Solving Many-Objective Optimization Problems
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    Chapter 35 Comparative Study on Constructive Heuristics for the Vertex Separation Problem
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    Chapter 36 A New Approach for Intelligent Control of Nonlinear Dynamic Plants Using a Benchmark Problem
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    Chapter 37 Fuzzy Pre-condition Rules for Activity Sequencing in Intelligent Learning Environments
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    Chapter 38 A Pre-filtering Based Context-Aware Recommender System using Fuzzy Rules
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    Chapter 39 A Fitness Estimation Strategy for Web Based Interactive Evolutionary Applications Considering User Preferences and Activities Using Fuzzy Logic
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    Chapter 40 Design of a Fuzzy System for Diagnosis of Hypertension
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    Chapter 41 Trajectory Metaheuristics for the Internet Shopping Optimization Problem
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    Chapter 42 Analysis of Some Database Schemas Used to Evaluate Natural Language Interfaces to Databases
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    Chapter 43 Cuckoo Search Algorithm via Lévy Flight with Dynamic Adaptation of Parameter Using Fuzzy Logic for Benchmark Mathematical Functions
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    Chapter 44 Differential Evolution with Dynamic Adaptation of Parameters for the Optimization of Fuzzy Controllers
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    Chapter 45 Ant Colony Optimization with Parameter Adaptation Using Fuzzy Logic for TSP Problems
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    Chapter 46 An Improved Harmony Search Algorithm Using Fuzzy Logic for the Optimization of Mathematical Functions
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    Chapter 47 A New Algorithm Based in the Smart Behavior of the Bees for the Design of Mamdani-Style Fuzzy Controllers Using Complex Non-linear Plants
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Title
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
Published by
Springer International Publishing, June 2015
DOI 10.1007/978-3-319-17747-2
ISBNs
978-3-31-917746-5, 978-3-31-917747-2
Editors

Melin, Patricia, Castillo, Oscar, Kacprzyk, Janusz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iraq 1 2%
Canada 1 2%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Student > Master 15 23%
Researcher 6 9%
Student > Doctoral Student 4 6%
Lecturer 4 6%
Other 12 18%
Unknown 6 9%
Readers by discipline Count As %
Computer Science 24 36%
Engineering 13 20%
Agricultural and Biological Sciences 4 6%
Decision Sciences 3 5%
Nursing and Health Professions 2 3%
Other 12 18%
Unknown 8 12%