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Nature-Inspired Design of Hybrid Intelligent Systems

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Cover of 'Nature-Inspired Design of Hybrid Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System
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    Chapter 2 An Overview of Granular Computing Using Fuzzy Logic Systems
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    Chapter 3 Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment
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    Chapter 4 Interval Type-2 Fuzzy Possibilistic C-Means Optimization Using Particle Swarm Optimization
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    Chapter 5 Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection
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    Chapter 6 Bidding Strategies Based on Type-1 and Interval Type-2 Fuzzy Systems for Google AdWords Advertising Campaigns
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    Chapter 7 On the Graphical Representation of Intuitionistic Membership Functions for Its Use in Intuitionistic Fuzzy Inference Systems
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    Chapter 8 A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptation
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    Chapter 9 Particle Swarm Optimization of the Fuzzy Integrators for Time Series Prediction Using Ensemble of IT2FNN Architectures
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    Chapter 10 Long-Term Prediction of a Sine Function Using a LSTM Neural Network
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    Chapter 11 UAV Image Segmentation Using a Pulse-Coupled Neural Network for Land Analysis
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    Chapter 12 Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic
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    Chapter 13 A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosis
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    Chapter 14 Spectral Characterization of Content Level Based on Acoustic Resonance: Neural Network and Feedforward Fuzzy Net Approaches
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    Chapter 15 Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition
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    Chapter 16 A Competitive Modular Neural Network for Long-Term Time Series Forecasting
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    Chapter 17 Differential Evolution Using Fuzzy Logic and a Comparative Study with Other Metaheuristics
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    Chapter 18 An Adaptive Fuzzy Control Based on Harmony Search and Its Application to Optimization
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    Chapter 19 A Review of Dynamic Parameter Adaptation Methods for the Firefly Algorithm
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    Chapter 20 Fuzzy Dynamic Adaptation of Parameters in the Water Cycle Algorithm
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    Chapter 21 Fireworks Algorithm (FWA) with Adaptation of Parameters Using Fuzzy Logic
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    Chapter 22 Imperialist Competitive Algorithm with Dynamic Parameter Adaptation Applied to the Optimization of Mathematical Functions
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    Chapter 23 Modification of the Bat Algorithm Using Type-2 Fuzzy Logic for Dynamical Parameter Adaptation
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    Chapter 24 Flower Pollination Algorithm with Fuzzy Approach for Solving Optimization Problems
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    Chapter 25 A Study of Parameters of the Grey Wolf Optimizer Algorithm for Dynamic Adaptation with Fuzzy Logic
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    Chapter 26 Gravitational Search Algorithm with Parameter Adaptation Through a Fuzzy Logic System
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    Chapter 27 Particle Swarm Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for the Taiwan Stock Exchange
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    Chapter 28 A New Hybrid PSO Method Applied to Benchmark Functions
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    Chapter 29 On the Use of Parallel Genetic Algorithms for Improving the Efficiency of a Monte Carlo-Digital Image Based Approximation of Eelgrass Leaf Area I: Comparing the Performances of Simple and Master-Slaves Structures
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    Chapter 30 Social Spider Algorithm to Improve Intelligent Drones Used in Humanitarian Disasters Related to Floods
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    Chapter 31 An Optimized GPU Implementation for a Path Planning Algorithm Based on Parallel Pseudo-bacterial Potential Field
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    Chapter 32 Estimation of Population Pharmacokinetic Parameters Using a Genetic Algorithm
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    Chapter 33 Optimization of Reactive Control for Mobile Robots Based on the CRA Using Type-2 Fuzzy Logic
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    Chapter 34 A FPGA-Based Hardware Architecture Approach for Real-Time Fuzzy Edge Detection
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    Chapter 35 A Hybrid Intelligent System Model for Hypertension Diagnosis
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    Chapter 36 Comparative Analysis of Designing Differents Types of Membership Functions Using Bee Colony Optimization in the Stabilization of Fuzzy Controllers
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    Chapter 37 Neuro-Fuzzy Hybrid Model for the Diagnosis of Blood Pressure
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    Chapter 38 Microcalcification Detection in Mammograms Based on Fuzzy Logic and Cellular Automata
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    Chapter 39 Sensor Less Fuzzy Logic Tracking Control for a Servo System with Friction and Backlash
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    Chapter 40 Differential Evolution with Self-adaptive Gaussian Perturbation
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    Chapter 41 Optimization Mathematical Functions for Multiple Variables Using the Algorithm of Self-defense of the Plants
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    Chapter 42 Evaluation of the Evolutionary Algorithms Performance in Many-Objective Optimization Problems Using Quality Indicators
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    Chapter 43 Generating Bin Packing Heuristic Through Grammatical Evolution Based on Bee Swarm Optimization
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    Chapter 44 Integer Linear Programming Formulation and Exact Algorithm for Computing Pathwidth
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    Chapter 45 Iterated VND Versus Hyper-heuristics: Effective and General Approaches to Course Timetabling
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    Chapter 46 AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem
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    Chapter 47 Increase Methodology of Design of Course Timetabling Problem for Students, Classrooms, and Teachers
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    Chapter 48 Solving the Cut Width Optimization Problem with a Genetic Algorithm Approach
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    Chapter 49 A Dialogue Interaction Module for a Decision Support System Based on Argumentation Schemes to Public Project Portfolio
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    Chapter 50 Implementation of an Information Retrieval System Using the Soft Cosine Measure
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    Chapter 51 TOPSIS-Grey Method Applied to Project Portfolio Problem
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    Chapter 52 Comparing Grammatical Evolution’s Mapping Processes on Feature Generation for Pattern Recognition Problems
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    Chapter 53 Hyper-Parameter Tuning for Support Vector Machines by Estimation of Distribution Algorithms
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    Chapter 54 Viral Analysis on Virtual Communities: A Comparative of Tweet Measurement Systems
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    Chapter 55 Improving Decision-Making in a Business Simulator Using TOPSIS Methodology for the Establishment of Reactive Stratagems
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    Chapter 56 Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design
Overall attention for this book and its chapters
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Citations

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Title
Nature-Inspired Design of Hybrid Intelligent Systems
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-47054-2
ISBNs
978-3-31-947053-5, 978-3-31-947054-2
Editors

Patricia Melin, Oscar Castillo, Janusz Kacprzyk

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Student > Master 7 15%
Student > Bachelor 6 13%
Student > Doctoral Student 2 4%
Researcher 2 4%
Other 7 15%
Unknown 9 19%
Readers by discipline Count As %
Computer Science 15 32%
Engineering 12 26%
Nursing and Health Professions 1 2%
Mathematics 1 2%
Decision Sciences 1 2%
Other 3 6%
Unknown 14 30%

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