Computational Intelligence in Emerging Technologies for Engineering Applications / / edited by Orestes Llanes Santiago, Carlos Cruz Corona, Antônio José Silva Neto, José Luis Verdegay |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (301 pages) |
Disciplina | 006.3 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Computational intelligence
Engineering mathematics Control engineering Mathematical optimization Thermodynamics Computational Intelligence Engineering Mathematics Control and Systems Theory Optimization |
ISBN | 3-030-34409-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Uncertainty Analysis of a Near-field Acoustic Levitation System -- Uncertainty Quantification and Statistics of Curves and Surfaces -- Meta-heuristic approaches for automatic roof measurement in solar panels installations -- Solution of a Coupled Conduction-Radiation Inverse Heat Transfer Problem with the Topographical Global Optimization Method -- Towards Intelligent Optimization of Design Strategies of Cyber Physical Systems: Measuring Efficacy through Evolutionary Computations -- A Novel Approach for Leak Localization in Water Distribution Networks using Computational Intelligence -- Determination of Nano-Aerosol Size Distribution using Differential Evolution -- Estimation of Timewise Varying Boundary Heat Flux via Bayesian Filters and Markov Chain Monte Carlo Method -- Health monitoring of automotive batteries in fast-charging conditions through a fuzzy model of the incremental capacity -- Fault Detection and Isolation in Smart Grid Devices using Probabilistic Boolean Networks -- Evaluating Automated Machine Learning on supervised regression Traffic Forecasting Problems -- Multi-robot coalition formation and task allocation using immigrant based adaptive genetic algorithms -- Lidar and Non-Extensive Particle Filter for UAV Autonomous Navigation -- Quasi-optimization of the Time Dependent Travelling Salesman Problem by Intuitionistic Fuzzy Model and Memetic Algorithm -- Analyzing Information and Communications Technology national indices by using Fuzzy Datamining Techniques. |
Record Nr. | UNINA-9910483668803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering / / edited by Gustavo Mendes Platt, Xin-She Yang, Antônio José Silva Neto |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (301 pages) |
Disciplina | 006.3019 |
Soggetto topico |
Computational intelligence
Mathematical optimization Probabilities Computational Intelligence Discrete Optimization Continuous Optimization Probability Theory and Stochastic Processes |
ISBN | 3-319-96433-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 01- An Overview of the Use of Metaheuristics in Two Phase Equilibrium Calculation Problems -- Chapter 02- Reliability-based Robust Optimization Applied to Engineering System Design -- Chapter 03- On Initial Populations of Differential Evolution for Practical Optimization Problems -- Chapter 04- Application of Enhanced Particle Swarm Optimization in Euclidean Steiner Tree Problem Solving in RN -- Chapter 05- Rotation-Based Multi-Particle Collision Algorithm with Hooke-Jeeves Approach Applied to the Structural Damage Identification -- Chapter 06- Optimization in Civil Engineering and Metaheuristic Algorithms: a Review of State-of-the-Art Developments -- Chapter 07- A Bioreactor Fault Diagnosis Based on Metaheuristics -- Chapter 08- Optimization of Nuclear Reactors Loading Patterns with Computational Intelligence Methods -- Chapter 09- Inverse Problem of an Anomalous Diffusion Model Employing Lightning Optimization Algorithm -- Chapter 10- Study of the Impact of the Topology of Artificial Neural Networks for the Prediction of Meteorological Data -- Chapter 11- Constructal Design Associated with Genetic Algorithm to Maximize the Performance of H-shaped Isothermal Cavities -- Chapter 12- Co-Design System for Tracking Targets using Template Matching -- Chapter 13- A Hybrid Estimation Scheme Based on the Sequential Importance Resampling Particle Filter and the Particle Swarm Optimization (PSO-SIR) -- Chapter 14- Fault Detection Using Kernel Computational Intelligence Algorithms -- Index. |
Record Nr. | UNINA-9910484658003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Monitoring Multimode Continuous Processes : A Data-Driven Approach / / by Marcos Quiñones-Grueiro, Orestes Llanes-Santiago, Antônio José Silva Neto |
Autore | Quiñones-Grueiro Marcos |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (309 pages) |
Disciplina | 620.0044 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico |
Computational intelligence
Engineering—Data processing Engineering mathematics Computational Intelligence Data Engineering Engineering Mathematics |
ISBN | 3-030-54738-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Data-driven Fault Diagnosis -- Multimode Continuous Processes -- Multimode Continuous Processes Clustering -- Multimode Continuous Processes Monitoring. |
Record Nr. | UNINA-9910484441903321 |
Quiñones-Grueiro Marcos
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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