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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

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Cover of 'Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparative Study of Dynamic Adaptation of Parameters in the GWO Algorithm Using Type-1 and Interval Type-2 Fuzzy Logic
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    Chapter 2 Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition Applications
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    Chapter 3 Improved Method Based on Type-2 Fuzzy Logic for the Adaptive Harmony Search Algorithm
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    Chapter 4 Comparison of Bio-Inspired Methods with Parameter Adaptation Through Interval Type-2 Fuzzy Logic
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    Chapter 5 Differential Evolution Algorithm with Interval Type-2 Fuzzy Logic for the Optimization of the Mutation Parameter
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    Chapter 6 Person Recognition with Modular Deep Neural Network Using the Iris Biometric Measure
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    Chapter 7 Neuro-evolutionary Neural Network for the Estimation of Melting Point of Ionic Liquids
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    Chapter 8 A Proposal to Classify Ways of Walking Patterns Using Spiking Neural Networks
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    Chapter 9 Partially-Connected Artificial Neural Networks Developed by Grammatical Evolution for Pattern Recognition Problems
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    Chapter 10 Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers
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    Chapter 11 Galactic Swarm Optimization with Adaptation of Parameters Using Fuzzy Logic for the Optimization of Mathematical Functions
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    Chapter 12 Protein Folding Problem in the Case of Peptides Solved by Hybrid Simulated Annealing Algorithms
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    Chapter 13 Optimization of the Parameters of Smoothed Particle Hydrodynamics Method, Using Evolutionary Algorithms
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    Chapter 14 Symbolic Regression by Means of Grammatical Evolution with Estimation Distribution Algorithms as Search Engine
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    Chapter 15 Impact Study of the Footprint of Uncertainty in Control Applications Based on Interval Type-2 Fuzzy Logic Controllers
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    Chapter 16 Optimization of Membership Function Parameters for Fuzzy Controllers of an Autonomous Mobile Robot Using the Firefly Algorithm
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    Chapter 17 Parallel Bacterial Potential Field Algorithm for Path Planning in Mobile Robots: A GPU Implementation
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    Chapter 18 Path Following Fuzzy System for a Nonholonomic Mobile Robot Based on Frontal Camera Information
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    Chapter 19 Design and Implementation of a Fuzzy Path Optimization System for Omnidirectional Autonomous Mobile Robot Control in Real-Time
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    Chapter 20 Fuzzy Logic in Recommender Systems
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    Chapter 21 Money Management for a Foreign Exchange Trading Strategy Using a Fuzzy Inference System
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    Chapter 22 Generation and Reduction of Fuzzy Sets with PG-Means and Fuzzy Similarity Measures
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    Chapter 23 Fuzzy Optimized Classifier for the Diagnosis of Blood Pressure Using Genetic Algorithm
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    Chapter 24 A New Model Based on a Fuzzy System for Arterial Hypertension Classification
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    Chapter 25 A Takagi–Sugeno-Kang Fuzzy Model Formalization of Eelgrass Leaf Biomass Allometry with Application to the Estimation of Average Biomass of Leaves in Shoots: Comparing the Reproducibility Strength of the Present Fuzzy and Related Crisp Proxies
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    Chapter 26 Modeling and Project Portfolio Selection Problem Enriched with Dynamic Allocation of Resources
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    Chapter 27 A Grey Mathematics Approach for Evolutionary Multi-objective Metaheuristic of Project Portfolio Selection
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    Chapter 28 Statistical Comparative Between Selection Rules for Adaptive Operator Selection in Vehicle Routing and Multi-knapsack Problems
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    Chapter 29 Performance Analysis of an a Priori Strategy to Elicitate and Incorporate Preferences in Multi-objective Optimization Evolutionary Algorithms
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    Chapter 30 A Methodology for Optimization of Visual Comfort of Multi-User Intelligent Systems Based on Genetic Algorithms
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    Chapter 31 Translation of Natural Language Queries to SQL that Involve Aggregate Functions, Grouping and Subqueries for a Natural Language Interface to Databases
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    Chapter 32 Comparative Study of Computational Strategies for Protein Structure Prediction
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    Chapter 33 Issues in Querying Databases with Design Anomalies Using Natural Language Interfaces
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    Chapter 34 Comparative Study of ARIMA Methods for Forecasting Time Series of the Mexican Stock Exchange
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    Chapter 35 A New Heuristic Algorithm for the Vertex Separation Problem
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    Chapter 36 The Deployment of Unmanned Aerial Vehicles at Optimized Locations to Provide Communication in Natural Disasters
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    Chapter 37 A Comparison of Image Texture Descriptors for Pattern Classification
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    Chapter 38 Comparative of Effectiveness When Classifying Colors Using RGB Image Representation with PSO with Time Decreasing Inertial Coefficient and GA Algorithms as Classifiers
Overall attention for this book and its chapters
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Citations

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Title
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-71008-2
ISBNs
978-3-31-971007-5, 978-3-31-971008-2
Editors

Castillo, Oscar, Melin, Patricia, Kacprzyk, Janusz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Master 3 14%
Professor 2 10%
Student > Ph. D. Student 2 10%
Student > Postgraduate 2 10%
Other 3 14%
Unknown 6 29%
Readers by discipline Count As %
Computer Science 8 38%
Engineering 4 19%
Chemistry 1 5%
Agricultural and Biological Sciences 1 5%
Unknown 7 33%

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