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1–50 von 181 Ergebnissen
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    XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters

    Seidel, Cory A. / Genter, Ethan / Peters, David A. | AIAA | 2021
    Schlagwörter: Reinforcement Learning

    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archiv | 2003
    Schlagwörter: Lernen

    Vibration modeling improves pipeline performance, costs

    Ben Rahmoune Mohamed / Hafaifa, Ahmed / Mouloud, Guemana | Tema Archiv | 2015
    Schlagwörter: Lernprozess

    Verification of Image-Based Neural Network Controllers Using Generative Models

    Katz, Sydney M. / Corso, Anthony L. / Strong, Christopher A. et al. | AIAA | 2022
    Schlagwörter: Machine Learning

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner

    Goddard, Zachary C. / Wardlaw, Kenneth / Williams, Kyle et al. | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Using Visualization of Convolutional Neural Networks in Virtual Reality for Machine Learning Newcomers

    Freier Zugriff
    Meissler, Nadine / Wohlan, Annika / Hochgeschwender, Nico et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    Schlagwörter: knowledge learning

    Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft

    Jain, Tanish / Misra, Shlok / Truong, Dothang | AIAA | 2022
    Schlagwörter: Machine Learning

    Unsupervised prototype reduction for data exploration and an application to air traffic management initiatives

    Estes, Alexander / Lovell, David J. / Ball, Michael O. | Online Contents | 2019
    Schlagwörter: Unsupervised learning

    Two-Phase Neural Combinatorial Optimization with Reinforcement Learning for Agile Satellite Scheduling

    Zhao, Xuexuan / Wang, Zhaokui / Zheng, Gangtie | AIAA | 2020
    Schlagwörter: Reinforcement Learning

    Transfer of human control strategy based on similarity measure

    Song, Jinyan / Xu, Yangsheng / Nechyba, M.C. et al. | Tema Archiv | 1999
    Schlagwörter: Lernen

    Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification

    Baro, X. / Escalera, S. / Vitria, J. et al. | Tema Archiv | 2009
    Schlagwörter: Lernen

    Traffic incident detection using particle swarm optimization

    Srinivasan, D. / Loo, Wee-Hoon / Cheu, Ruey-Long | Tema Archiv | 2003
    Schlagwörter: Lernen

    The past, present, and future of neural networks for signal processing

    Hwang, Jenq-Nen / Kung, Sun-Yan / Niranjan, M. et al. | Tema Archiv | 1997
    Schlagwörter: Lernen

    The conditions of student's structuration of knowledge in a virtual language class

    Merri, M. / Monties-Cabot, R. / European Society for the Study of Cognitive Systems | British Library Conference Proceedings | 2004
    Schlagwörter: Learning

    The capacitated single-allocation p-hub location routing problem: a Lagrangian relaxation and a hyper-heuristic approach

    Danach, Kassem / Gelareh, Shahin / Neamatian Monemi, Rahimeh | Online Contents | 2019
    Schlagwörter: Reinforcement learning

    Taxi-Out Time Prediction Model at Charles de Gaulle Airport

    Herrema, Floris / Curran, Richard / Visser, Hendrikus et al. | AIAA | 2018
    Schlagwörter: Reinforcement Learning

    Swarm Intelligence in Cooperative Environments: n -Step Dynamic Tree Search Algorithm Overview

    Espinós Longa, Marc / Tsourdos, Antonios / Inalhan, Gokhan | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Stochastische Transportprobleme

    Arnold, Klaus-Peter | SLUB | 1987
    Schlagwörter: Lernen

    Statistical-machine-learning-based intelligent relaxation for set-covering location models to identify locations of charging stations for electric vehicles

    Freier Zugriff
    Selcen Gülsüm Aslan Özşahin / Babek Erdebilli | DOAJ | 2023
    Schlagwörter: Statistical-machine-learning-based intelligent optimization

    Spatiotemporal Image-Based Flight Trajectory Clustering Model with Deep Convolutional Autoencoder Network

    Liu, Ye / Ng, Kam K. H. / Chu, Nana et al. | AIAA | 2023
    Schlagwörter: Deep Learning

    Software V&V support by parametric analysis of large software simulation systems

    Schumann, J. / Gundy-Burlet, K. / Pasareanu, C. et al. | Tema Archiv | 2009
    Schlagwörter: Lernen

    Small-Data-Driven Multitask Computational Guidance for Constrained Impact

    Luo, Haowen / He, Shaoming | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Simplified Approach for Modeling Conflict Resolution Behavior of Human Pilot

    Hu, Yang / Wang, Xiaoyan | AIAA | 2019
    Schlagwörter: Reinforcement Learning

    Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties

    Freier Zugriff
    Da Ronch, Andrea / Panzeri, Marco / Drofelnik, Jernej et al. | Springer Verlag | 2020
    Schlagwörter: Machine-learning

      Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties

      Da Ronch, Andrea / Panzeri, Marco / Drofelnik, Jernej et al. | Online Contents | 2019
      Schlagwörter: Machine-learning

    Semi-Supervised Active Learning for Anomaly Detection in Aviation

    Memarzadeh, Milad / Matthews, Bryan / Templin, Thomas et al. | AIAA | 2023
    Schlagwörter: Feature Learning , Deep Learning , Active Learning

    Selecting Minimal Motion Primitive Libraries with Genetic Algorithms

    Goddard, Zachary C. / Wardlaw, Kenneth / Williams, Kyle et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Run Time Assured Reinforcement Learning for Safe Satellite Docking

    Dunlap, Kyle / Mote, Mark / Delsing, Kaiden et al. | AIAA | 2022
    Schlagwörter: Reinforcement Learning

    Robot design for space missions using evolutionary computation

    Rommerman, M. / Kuhn, D. / Kirchner, F. | Tema Archiv | 2009
    Schlagwörter: Lernen

    Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems

    Sharma, Prashin / Kraske, Benjamin / Kim, Joseph et al. | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Research on suspension system based on genetic algorithm and neural network control

    Tang, Chuan-yin / Zhao, Guang-yao / Li, Hua et al. | Tema Archiv | 2009
    Schlagwörter: Lernen

    Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions

    Shi, Junchuan / Okolo, Wendy A. / Wu, Dazhong | AIAA | 2023
    Schlagwörter: Transfer Learning

    Reduced-order models for aerodynamic applications, loads and MDO

    Ripepi, M. / Verveld, M. J. / Karcher, N. W. et al. | Springer Verlag | 2018
    Schlagwörter: Manifold learning

      Reduced-order models for aerodynamic applications, loads and MDO

      Ripepi, M. / Verveld, M. J. / Karcher, N. W. et al. | Online Contents | 2018
      Schlagwörter: Manifold learning

    RBF NN based marine diesel engine generator modeling

    Shi, Weifeng / Yang, Jianmin / Tang, Tianhao | Tema Archiv | 2005
    Schlagwörter: Lernen

    Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2016
    Schlagwörter: Machine Learning

    Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains

    Vidot, Guillaume / Gabreau, Christophe / Ober, Ileana et al. | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Progressive Bayesian Neural Networks

    Freier Zugriff
    Schnaus, Dominik | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: Continual Learning

    Prefetch and Push Method of Flight Information Based on Migration Workflow

    Xu, Tao / Sun, Youchao | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Prediction of wing buffet pressure loads using a convolutional and recurrent neural network framework

    Freier Zugriff
    Zahn, R. / Weiner, A. / Breitsamter, C. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Prediction of vehicle reliability performance using artificial neural networks

    Lolas, S. / Olatunbosun, O.A. | Tema Archiv | 2008
    Schlagwörter: Lernen

    Prediction of transonic wing buffet pressure based on deep learning

    Freier Zugriff
    Zahn, R. / Breitsamter, C. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms

    Shafiullah, G.M. / Ali, A.B.M.Shawkat / Thompson, Adam et al. | Tema Archiv | 2010
    Schlagwörter: Lernen

    Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks

    Giraldo-Grueso, Felipe / Popov, Andrey A. / Zanetti, Renato | AIAA | 2024
    Schlagwörter: Machine Learning

    Practical Considerations

    Moir, Ian / Seabridge, Allan | Wiley | 2012
    Schlagwörter: learning

    Periodenübergreifende Budgetallokation in der Instandhaltung modularer Systeme - ein Anwendungsfall von Deep Reinforcement Learning

    Freier Zugriff
    Krause, Michael / Technische Universität Clausthal | TIBKAT | 2021
    Schlagwörter: Deep learning , Bestärkendes Lernen

    Pattern matching as the nucleus for either autonomous driving or driver assistance systems

    Krodel, N. / Kuhnert, K.D. | Tema Archiv | 2003
    Schlagwörter: Lernen , verstärktes Lernen

    Parareal with a learned coarse model for robotic manipulation

    Freier Zugriff
    Agboh, Wisdom / Grainger, Oliver / Ruprecht, Daniel et al. | BASE | 2020
    Schlagwörter: Learning , Computer Science - Learning