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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
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Castillo Oscar
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Castillo Oscar
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| Cham, Switzerland : , : Springer International Publishing, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
| New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics |
| Autore | Castillo Oscar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (422 pages) |
| Altri autori (Persone) | MelinPatricia |
| Collana | Studies in Computational Intelligence Series |
| 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 |
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Castillo Oscar
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Castillo Oscar
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Castillo Oscar
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Castillo Oscar
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| Cham : , : Springer International Publishing AG, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Type-3 Fuzzy Logic in Time Series Prediction
| Type-3 Fuzzy Logic in Time Series Prediction |
| Autore | Castillo Oscar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (102 pages) |
| Altri autori (Persone) | MelinPatricia |
| Collana | SpringerBriefs in Applied Sciences and Technology Series |
| ISBN | 3-031-59714-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Preface -- Contents -- 1 Type-3 Fuzzy Prediction -- References -- 2 Type-3 for Prediction -- 2.1 Type-3 Fuzzy Sets -- 2.2 Type-3 Fuzzy Systems -- 2.3 Summary -- References -- 3 Type-3 Fuzzy Logic in Time Series Prediction -- 3.1 Introduction -- 3.2 Review of Type-3 -- 3.3 Type-3 in Prediction -- 3.4 Summary -- References -- 4 Prediction with a Hybrid Interval Type-3 Fuzzy-Fractal Approach -- 4.1 Introduction -- 4.2 Fractal Dimension -- 4.3 Type-3 Concepts -- 4.3.1 Type-3 Gaussian MFs -- 4.3.2 Type-3 Triangular MFs -- 4.3.3 Inference and Type-Reduction -- 4.4 Fuzzy Fractal Prediction -- 4.5 Simulation Results -- 4.6 Summary -- References -- 5 Type-3 Fuzzy Aggregation of Neural Networks -- 5.1 Introduction -- 5.2 Type-3 Fuzzy Logic -- 5.3 Method -- 5.4 Results -- 5.5 Conclusions -- References -- 6 Type-3 Fuzzy Aggregators for Neural Network Ensembles in Prediction -- 6.1 Introduction -- 6.2 Type-3 Fuzzy Logic -- 6.3 Proposal -- 6.4 Results -- 6.5 Conclusions -- References -- 7 Optimal Type-3 Fuzzy Systems and Ensembles of Neural Networks Using the Firefly Algorithm -- 7.1 Introduction -- 7.2 Intelligent Techniques -- 7.2.1 NNs -- 7.2.2 Type-3 Fuzzy Logic -- 7.2.3 Firefly Algorithm -- 7.3 Method -- 7.3.1 Method Description -- 7.3.2 Dataset Description -- 7.4 Experimental Results -- 7.5 Conclusions -- References -- 8 Conclusions of Type-3 Fuzzy Logic in Prediction -- References -- Index. |
| Record Nr. | UNINA-9910857794703321 |
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Castillo Oscar
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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