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Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control / / Oscar Castillo, Patricia Ochoa, Jose Soria
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control / / Oscar Castillo, Patricia Ochoa, Jose Soria
Autore Castillo Oscar
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (VII, 61 p. 47 illus., 42 illus. in color.)
Disciplina 511.3
Collana SpringerBriefs in applied sciences and technology. Computational intelligence
Soggetto topico Fuzzy logic
Evolution equations
ISBN 3-030-62133-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484868203321
Castillo Oscar  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics / / edited by Oscar Castillo, Patricia Melin
Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics / / edited by Oscar Castillo, Patricia Melin
Autore Castillo Oscar
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (489 pages)
Disciplina 006.3
Altri autori (Persone) MelinPatricia
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-031-28999-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A decision-making approach based on multiple neural networks for clustering and prediction of time series -- Approximation of Physicochemical Properties based on a Mes-sage Passing Neural Network Approach -- Quanvolutional Neural Network applied to MNIST -- Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks -- Fuzzy dynamic adaptation of an Artificial Fish Swarm Algo-rithm for the Optimization of Benchmark Functions -- Particle Swarm Optimization Algorithm with Improved Opposi-tion-Based Learning (IOBL-PSO) to Solve Continuous Problems -- Study on the effect of chaotic maps in the formation of new uni-verses in the Multiverse Optimizer algorithm -- Performance comparative of surrogate models as fitness func-tions for metaheuristic algorithms -- A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithm -- Optimal Tuning of an Active Disturbance Rejection Controller using a Particle Swarm Optimization algorithm -- Optimization of Fuzzy Controllers using Distributed Bioinspired Methods with Random parameters -- Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset -- Comparison of the effect of parameter adaptation in bio-inspired CS algorithm using Type-2 Fuzzy Logic -- Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: some case studies -- A new selection and class prediction using type-1 fuzzy logic ap-plied to a convolutional neural network -- Relaxed Differential Evolution Algorithm -- Automatic Characterization of Time Series Using Metaheuristic Algorithms for Epidemics Spread Analysis -- Comparative study of heuristics for the One-dimensional Bin Pa-cking Problem -- Experimental Evaluation of Adaptive Operators Selection Methods for the Dynamic Multiobjective Evolutionary Algorithm Based on Decomposition (DMOEA/D) -- Automated Machine Learning to improve stock-market forecast-ing using PSO and LSTM networks -- Evolutionary Gaussian-Gradient: A new optimization algorithm for the electromechanical design of gravitational batteries -- A comparison between selection operators heuristics of perturba-tion in CSP -- Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Feedback Control Techniques -- An Evolutionary Bilevel Optimization Approach for Neuroevolu-tion -- Recovering from population extinction in the Animal Life Cycle Algorithm (ALCA) -- Multi-objective optimization through coevolution and outranking methods with uncertainty management -- EDA Experimental Proposal with Mallows Distribution applied to the Mixed No-idle Permutation Flowshop Scheduling problem -- Interval Type-3 Fuzzy Decision Making in Material Surface Quality Control -- Interval Type-3 Fuzzy Decision Making in Quality Evaluation for Speaker Manufacturing.
Record Nr. UNINA-9910731480603321
Castillo Oscar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Interval type-3 fuzzy systems : theory and design / / Oscar Castillo, Juan R. Castro and Patricia Melin
Interval type-3 fuzzy systems : theory and design / / Oscar Castillo, Juan R. Castro and Patricia Melin
Autore Castillo Oscar
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2022]
Descrizione fisica 1 online resource (109 pages)
Disciplina 003
Collana Studies in Fuzziness and Soft Computing
Soggetto topico Fuzzy systems
Fuzzy logic
ISBN 3-030-96515-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910552746603321
Castillo Oscar  
Cham, Switzerland : , : Springer International Publishing, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics / / edited by Oscar Castillo, Patricia Melin
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics / / edited by Oscar Castillo, Patricia Melin
Autore Castillo Oscar
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (422 pages)
Disciplina 006.3
Altri autori (Persone) MelinPatricia
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-031-55684-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- About This Book -- Contents -- Fuzzy Logic -- Fuzzy Adaptation of Parameters in a Multi-swarm Particle Swarm Optimization (PSO) Algorithm Applied to the Optimization of a Fuzzy Controller -- 1 Introduction -- 2 Proposal -- 3 Use Case -- 4 Results -- 5 Conclusions and Future Work -- References -- Fuzzifying Intrusion Detection Systems with Modified Artificial Bee Colony and Support Vector Machine Algorithms -- 1 Introduction -- 2 Methodology -- 3 Literature Review -- 3.1 Finding Promising IDS Architectures -- 3.2 Testing Data Sets -- 3.3 Comparing Papers -- 4 Preliminaries -- 4.1 Fuzzy Artificial Bee Colony Algorithm -- 4.2 Intuitionistic Fuzzy Twin Support Vector Machine -- 4.3 Combined Classification Process -- 5 Fuzzy Architecture -- 5.1 Feature Extraction and Normalization -- 5.2 Feature Selection -- 5.3 Classification -- 5.4 Classifier Training process -- 6 Results and Discussion -- 7 Further Research -- References -- Type-2 Mamdani Fuzzy System Optimization for a Classification Ensemble with Black Widow Optimizer -- 1 Introduction -- 2 Basic Concepts and Background -- 2.1 Type-1 and Type-2 Fuzzy Systems -- 2.2 Black Widow Optimizer -- 2.3 Ensemble of Neural Networks -- 3 Proposed Methodology -- 3.1 Medical Images -- 4 Experimental Results -- 5 Conclusions -- References -- Towards Designing Interval Type-3 Fuzzy PID Controllers -- 1 Introduction -- 2 PID Control -- 3 Fuzzy PID Control -- 4 Proposal for Type-3 Fuzzy PID Control -- 5 Illustrative Example -- 6 Conclusions -- References -- Neural Networks -- Classification of Consumption Level in Developing Countries for Time Series Prediction Using a Hierarchical Nested Artificial Neural Network Method -- 1 Introduction -- 2 Case Study -- 3 Methodology -- 4 Experiments and Results -- 5 Conclusions -- References.
Computer Aided Diagnosis for COVID-19 with Quantum Computing and Transfer Learning -- 1 Introduction -- 2 Fundamentals -- 2.1 Convolutional Neural Network -- 2.2 Transfer Learning -- 2.3 Quantum Computing -- 3 Methods -- 3.1 Dataset -- 3.2 Model Architecture -- 3.3 Quantum Convolutional Preprocessing -- 3.4 Metrics -- 4 Experiments and Results -- 5 Conclusion and Future Work -- References -- Prescribed-Time Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Robust Control Techniques -- 1 Introduction -- 2 Trajectory Generation -- 3 Kinematic Model and Control Design -- 4 Numerical Results -- 5 Conclusion -- References -- Generative Models for Class Imbalance Problem on BreakHis Dataset: A Case Study -- 1 Introduction -- 2 Background -- 2.1 Generative Models -- 2.2 Discriminative Models -- 3 Methodology -- 4 Results and Statistical Analysis -- 4.1 Generated Images -- 4.2 Classification Metrics Results -- 4.3 Statistical Analysis -- 5 Conclusions and Future Work -- References -- Prediction Using a Fuzzy Inference System in the Classification Layer of a Convolutional Neural Network Replacing the Softmax Function -- 1 Introduction -- 2 Literature Review -- 2.1 The Convolutional Neural Networks or CNN -- 2.2 The Softmax Function -- 3 Proposed Method -- 4 Results and Discussion -- 5 Conclusions -- References -- Optimization -- Optimization of Lithium‐Ion Batteries Using Boltzmann Metaheuristics Systems: Towards a Green Artificial Intelligence -- 1 Introduction -- 2 Methodology -- 2.1 Lithium-Ion Model -- 2.2 Lithium Battery in Boltzmann System -- 3 Boltzmann Optimization Algorithm -- 4 Results -- 4.1 Experimental Stup -- 4.2 Optimization of a Lithium Battery by BOA -- 5 Conclusions -- References.
Novel Decomposition-Based Multi-objective Evolutionary Algorithm Using Reinforcement Learning Adaptive Operator Selection (MOEA/D-QL) -- 1 Introduction -- 2 Adaptive Operator Selection -- 2.1 Probability-Based -- 2.2 Based on Multi-armed Bandits -- 3 Adaptive Operator Selection Based on Dynamic Thompson Sampling (DYTS) -- 3.1 Credit Assignment -- 3.2 Operator Selection Mechanism -- 4 Reinforcement Learning -- 4.1 Q-learning -- 5 Proposed MOEA/D-QL Algorithm -- 5.1 Choose an Action -- 5.2 Take an Action -- 5.3 Get Reward -- 6 Update Q Table -- 6.1 Set of Available Actions -- 7 Computational Experiments -- 8 Results -- 8.1 Hypervolume -- 8.2 Generalized Spread -- 8.3 Inverted Generational Distance -- 9 Conclusions -- References -- Multiobjective Particle Swarm Optimization for the Hydro-Thermal Power Scheduling Problem -- 1 Introduction -- 2 Dynamic Multiobjective Optimization Problem Definitions -- 3 Problem Formalization -- 3.1 Objective Functions -- 3.2 Constraints -- 3.3 Case Study -- 4 Solution Methodology -- 4.1 Multiobjective Particle Swarm Optimization -- 4.2 Initial Feasible Solutions -- 4.3 Mutation Operator -- 4.4 Constraint Handling -- 5 Computational Experience -- 6 Conclusions and Further Work -- References -- Comparative Analysis of Metaheuristic Algorithms for Standard Dynamic Multiobjective Optimization Problems -- 1 Introduction -- 2 Dynamic Multiobjective Optimization Problem Definitions -- 3 FDA Test Suite -- 3.1 FDA1 -- 3.2 FDA2 -- 3.3 FDA3 -- 3.4 FDA4 -- 3.5 FDA5 -- 4 Metaheuristics for DMOPs -- 4.1 DNSGA-II -- 4.2 DSPEA-II -- 5 Computational Experience -- 5.1 Experimental Design -- 5.2 Experimental Results -- 6 Conclusions and Further Work -- References -- Hypervolume Indicator as an Estimator for Adaptive Operator Selection in an On-Line Multi-objective Hyper-heuristic -- 1 Introduction -- 2 Relevant Concepts.
2.1 On-Line Hyper-heuristic -- 2.2 Adaptive Operator Selection -- 2.3 MOEA/D-DRA -- 2.4 Hypervolume Indicator -- 3 Methodology -- 3.1 High-Level MOEA/D-DRA Strategy -- 3.2 HyperVolume Indicator as an Operator Quality Metric -- 4 Experiments -- 4.1 Test Problems -- 4.2 Algorithms and Parameter Settings -- 5 Results and Discussion -- 6 Conclusions -- References -- Metaheuristics: Theory and Applications -- A New Breeding Crossover Approach for Evolutionary Algorithms -- 1 Introduction -- 2 Proposal -- 2.1 Crossover Proposal -- 3 Experiments -- 3.1 Experimental Configuration -- 3.2 Experimental Results -- 4 Discussion -- 5 Conclusions -- References -- Dragonfly Algorithm for Benchmark Mathematical Functions Optimization -- 1 Introduction -- 2 Nature Inspiration -- 3 Study of the Literature -- 4 Dragonfly Algorithm (DA) -- 5 Results and Comparison -- 6 Conclusions -- References -- Fuzzy Dynamic Adaptation of a Whale Algorithm for the Optimization of Benchmark Functions -- 1 Introduction -- 2 Related Works -- 3 Whale Optimization Algorithm -- 4 Original WOA -- 5 Surround Prey -- 6 Bubble-Net Attacking Method (Exploitation Phase) -- 7 Search for Prey (Exploration Phase) -- 8 Fuzzy Whale Optimization Algorithm -- 9 Sets of Benchmark Functions -- 10 Experimental Results -- 11 Analysis of the Results -- 12 Conclusions -- References -- A New Variant of the Multiverse Optimizer Using Multiple Chaotic Maps and Fuzzy Logic for Optimization in CEC-2017 Benchmark Suite -- 1 Introduction -- 2 Multiverse Optimizer and Variants -- 3 Fuzzy Chaotic Multiverse Optimizer and Chaotic Maps -- 4 Comparison -- 5 Conclusions -- References -- A Comparison of Single-Based Versus Population-Based Search Algorithms in the Optimization of Fuzzy Systems -- 1 Introduction -- 2 Optimization Algorithms -- 2.1 Generalized Pattern Search -- 2.2 Simulated Annealing Algorithm.
2.3 Genetic Algorithm -- 2.4 Particle Swarm Optimization -- 3 Fuzzy System Optimization -- 3.1 Mamdani Fuzzy Systems -- 3.2 Design and Optimization of a Mamdani Fuzzy System -- 4 Testing and Results -- 5 Conclusions and Future Work -- References -- Applications of Intelligent Systems -- A Comprehensive Review of Task Scheduling Problem in Cloud Computing: Recent Advances and Comparative Analysis -- 1 Introduction -- 2 Cloud Computing: Importance, Classification and Architecture -- 3 Task Scheduling Problem -- 4 Task Scheduling Algorithms and Performance Metrics -- 4.1 Performance Metrics -- 4.2 Heuristic Techniques -- 4.3 Metaheuristic Techniques -- 5 Relevant Optimization Approaches -- 6 Comparison of Results -- 6.1 Instances -- 6.2 Results -- 7 Conclusion -- References -- Routing Design Methodology for Collaborative Robots in the Car Painting Process Using Perturbative Heuristics -- 1 Introduction -- 2 Related Work -- 2.1 Car Painting Problem -- 2.2 Collaborative Robotic Problem -- 2.3 Health Risks During the Car Painting Process -- 2.4 Optimization Techniques Applied to Collaborative Robotic Car-Painting Problem (CRCP) -- 3 Background -- 3.1 Collaborative Robotic Problem -- 3.2 Car Sequencing Problem -- 3.3 Car-Painting Problem -- 3.4 Collaborative Robotic Car- Painting Problem (CRCP) -- 3.5 Heuristics and Metaheuristics -- 4 Methodology -- 5 Results -- 5.1 Heuristics Results -- 6 Conclusions and Future work -- References -- Building an Open-Source Hydronic Heating System Simulator -- 1 Introduction -- 2 Proposal -- 2.1 HydronicPy -- 2.2 Simulator Thermal Dynamics -- 2.3 Simulator Core Models -- 3 Experiments -- 4 Conclusions -- References -- Analyzing the Impact of the Low Level Heuristics of a Hyperheuristic for the Master Bay Planning Problem -- 1 Introduction -- 2 Hyperheuristic -- 2.1 Low Level Heuristics -- 3 Proposed Methodology.
4 Experiments and Results.
Record Nr. UNINA-9910864187603321
Castillo Oscar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A New Meta-Heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics
A New Meta-Heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics
Autore Castillo Oscar
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (76 pages)
Altri autori (Persone) RodriguezLuis
Collana SpringerBriefs in Applied Sciences and Technology Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-82288-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910497104803321
Castillo Oscar  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pervasive Knowledge and Collective Intelligence on Web and Social Media : Second EAI International Conference, PerSOM 2023, Hyderabad, India, November 24–25, 2023, Proceedings / / edited by Oscar Castillo, Thanikanti Sudhakar Babu, Rajanikanth Aluvalu
Pervasive Knowledge and Collective Intelligence on Web and Social Media : Second EAI International Conference, PerSOM 2023, Hyderabad, India, November 24–25, 2023, Proceedings / / edited by Oscar Castillo, Thanikanti Sudhakar Babu, Rajanikanth Aluvalu
Autore Castillo Oscar
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (394 pages)
Disciplina 004.6
Altri autori (Persone) Sudhakar BabuThanikanti
AluvaluRajanikanth
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Application software
Artificial intelligence
Computer Communication Networks
Computer and Information Systems Applications
Artificial Intelligence
ISBN 3-031-66044-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Exploring the Adoption Readiness of the Indian Generation for Social media Payments: An In-depth Analysis of WhatsApp Payments -- PSO-DE: Optimization of Makespan in Task Scheduling through Cloud Fog Environment -- A Systematic Review Remote Sensed Hyperspectral Image Segmentation and Caption Generation using Deep Learning Methods -- Illuminating Malicious Intent in Social Networks Using Dual-Powered CHAM -- Detecting and Preventing DoS attacks within IoT Environment using AWS IoT Core -- Novel Technique to enhance visibility of Sand-Dust Images -- Citation Analysis of a Q1 Journal from its Thirty Years of Inception in Agriculture Supply-Chain -- Sentiment Analysis of Russia and Ukraine War on Twitter Data: Using Azure Machin Learning and Deep Learning -- Revolutionizing Autonomous Vehicle Intelligence with Cutting-Edge Spatial Crowdsourcing Framework -- Detection of SPAM on Twitter Social medial using Semi Supervised Learning Approach -- Logistics Shipping Based Blockchain using Smart Contracts -- Image Denoising using AI with Entropy as Metric Analysis -- Enhancing Health Record Security and Privacy with Blockchain-based Access Management -- SocialChain: A Decentralized Social Media Platform on the Blockchain -- Behavioural Analysis In Web Pattern Mining Of Social Media Networks Using Deep Densenet Classification -- Identification of Wild Animals In Forests Surveillance Cameras -- Social Media Impact On Student’s Academic Performance: A Study Of College Students In Bhubaneswar -- Semantic Web with Block Chain Technology Parsing New Trends to Extract Novel Scientific Demands -- Loan Status Prediction System with Ensembled Machine Learning Model with Enhancing Accuracy and Reliability -- Effect of Global Warming on Glaciers, Rivers & Water Towers -- Social Media Toxic-Text analysis using Deep Learning Techniques -- Twitter Sentiment Analysis -- Fake News Recognition using Machine Learning -- Accident Detection System Using Video Data -- Temporal Sentiment Analysis (TSMFPMSM) Model for Multimodal Social Media Fake Profile Detection -- Unveiling the Underworld: Detecting Fake Profiles through Network Analysis and Behavioral Modeling on Social Media -- VGMFSN: Design of an Efficient Fused VARMA GRU Model for the Identification of Fake Profiles on Social Networks -- Attaining Information Reliability Over Web Through Quantum Key Distribution.
Record Nr. UNINA-9910879595003321
Castillo Oscar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Type-2 Fuzzy Logic in Control of Nonsmooth Systems : Theoretical Concepts and Applications / / by Oscar Castillo, Luis T. Aguilar
Type-2 Fuzzy Logic in Control of Nonsmooth Systems : Theoretical Concepts and Applications / / by Oscar Castillo, Luis T. Aguilar
Autore Castillo Oscar
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 122 p. 75 illus., 18 illus. in color.)
Disciplina 511.313
Collana Studies in Fuzziness and Soft Computing
Soggetto topico Computational intelligence
Control engineering
Vibration
Dynamical systems
Dynamics
Robotics
Automation
Computational Intelligence
Control and Systems Theory
Vibration, Dynamical Systems, Control
Robotics and Automation
ISBN 3-030-03134-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Background on Type-1 and Type-2 Fuzzy Logic -- Genetic Algorithms -- Fuzzy Lyapunov Synthesis for Nonsmooth Mechanical Systems -- Fuzzy Control for Systems with Dead-Zone and Backlash -- Fuzzy Control Synthesis for Systems with Discontinuous Friction -- Fuzzy Control for Wheeled Mobile Robots -- Fuzzy Control for Biped Robots under Impacts.
Record Nr. UNINA-9910484382403321
Castillo Oscar  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Type-3 Fuzzy Logic in Intelligent Control
Type-3 Fuzzy Logic in Intelligent Control
Autore Castillo Oscar
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2023
Descrizione fisica 1 online resource (89 pages)
Altri autori (Persone) MelinPatricia
Collana SpringerBriefs in Applied Sciences and Technology Series
ISBN 3-031-46088-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- 1 Type-3 Fuzzy Control -- References -- 2 Type-3 Fuzzy Theory -- 2.1 Type-3 Fuzzy Sets -- 2.2 Type-3 Fuzzy Models -- 2.3 Summary -- References -- 3 Review of Type-3 Fuzzy Control -- 3.1 Introduction -- 3.2 Overview of the Type-3 Area -- 3.2.1 Overview of Type-3 Fuzzy Control -- 3.3 Summary -- References -- 4 Approach for Type-3 Fuzzy Control -- 4.1 Type-3 Fuzzy Control -- 4.1.1 Tank Problem -- 4.1.2 Autonomous Mobile Robot Case -- 4.2 Simulation Results -- 4.2.1 Results for the Tank -- 4.2.2 Results for Autonomous Mobile Robot -- 4.3 Summary -- References -- 5 Type-3 Fuzzy Differential Evolution for Optimal Fuzzy Controller Parameterization -- 5.1 Differential Evolution Algorithm -- 5.2 Interval Type-3 Fuzzy Differential Evolution Approach -- 5.2.1 Interval Type-3 Fuzzy Theory -- 5.2.2 Functions -- 5.2.3 Motor Control Problem -- 5.3 Experiments and Results -- 5.4 Summary -- References -- 6 Interval Type-3 Fuzzy Parameter Adaptation in Harmony Search Optimal Controller Design -- 6.1 Introduction -- 6.2 Metaheuristic -- 6.3 Type-3 Fuzzy Parameter Adaptation -- 6.3.1 Knowledge of the Type-3 Membership Functions (MF3s) -- 6.4 Methodology for Optimizing the Controller -- 6.4.1 Simulation Results -- 6.5 Summary -- References -- 7 Conclusions of Interval Type-3 Fuzzy Control -- References -- Index.
Record Nr. UNINA-9910765477503321
Castillo Oscar  
Cham : , : Springer International Publishing AG, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Type-3 Fuzzy Logic in Time Series Prediction / / by Oscar Castillo, Patricia Melin
Type-3 Fuzzy Logic in Time Series Prediction / / by Oscar Castillo, Patricia Melin
Autore Castillo Oscar
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (102 pages)
Disciplina 006.3
Altri autori (Persone) MelinPatricia
Collana SpringerBriefs in Computational Intelligence
Soggetto topico Computational intelligence
Engineering mathematics
Computational Intelligence
Engineering Mathematics
ISBN 3-031-59714-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter1. Type-3 Fuzzy Prediction -- Chapter 2. Type-3 for Prediction -- Chapter 3. Type-3 Fuzzy Logic in Time Series Prediction -- Chapter 4. Prediction with a Hybrid Interval Type-3 Fuzzy-Fractal Approach -- Chapter 5. Type-3 Fuzzy Aggregation of Neural Networks.
Record Nr. UNINA-9910857794703321
Castillo Oscar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui