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1–50 von 133 Ergebnissen
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    Traffic Route Generation and Adaptation Using Case-Based Reasoning

    Whitsitt, Andrew J. / Travis, Larry E. | Taylor & Francis Verlag | 1996
    Schlagwörter: automatic learning

    Problems Encountered during Implementation of the Backpropagation

    Kim, Daehyon | Taylor & Francis Verlag | 1999
    Schlagwörter: Learning rate , Learning mode

    Ausbilden auf hohem Niveau

    Komplexer Lernstoff lässt sich in Blended-Learning-Modulen aufbereiten
    Hofmann, Ursula | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Kennzahlen per Intranet

    Becker, Egbert | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    Projektausbildung in der Berufsausbildung

    Gewinnt immer mehr an Bedeutung
    Krause, Andrea | IuD Bahn | 2004
    Schlagwörter: Betriebliches Lernen

    “Free lessons” in aviation safety

    Rose, Andrew | Emerald Group Publishing | 2004
    Schlagwörter: Experiential learning

    Kreative Seminarmethoden

    Wie Sie den Methodeneinsatz im Training zielgerichtet, effektiv und teilnehmeraktivierend gestalten
    Sander, Silke / Lex, Monika | IuD Bahn | 2005
    Schlagwörter: Betriebliches Lernen

    Systematische Wissensvermittlung mit neuen Medien in der Fortbildung

    E-Learning bei der Bahn
    Pointner, Martin | IuD Bahn | 2005
    Schlagwörter: Betriebliches Lernen

    Chancen für die Zukunft durch Bildung

    Berufsbegleitende Fortbildung
    Hebding, Marion | IuD Bahn | 2005
    Schlagwörter: Betriebliches Lernen

    Considerazioni sulla formazione mediante simulatori di condotta

    Capaccioli, Tanya | IuD Bahn | 2006
    Schlagwörter: Betriebliches Lernen

    Lerntypen

    Mit einer typengerechten Gestaltung zum optimalen Lernerfolg
    Lex, Monika | IuD Bahn | 2007
    Schlagwörter: Betriebliches Lernen

    Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design

    Erikstad, Stein Ove / NTNU | Taylor & Francis Verlag | 2007
    Schlagwörter: learning

    Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys

    Kirkpatrick, Kenton / Valasek, John | AIAA | 2009
    Schlagwörter: Reinforcement Learning

    Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects

    Lampton, Amanda / Niksch, Adam / Valasek, John | AIAA | 2009
    Schlagwörter: Reinforcement Learning

    Airspace Sector Redesign Based on Voronoi Diagrams

    Xue, Min | AIAA | 2009
    Schlagwörter: Machine Learning

    Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis

    Lampton, Amanda / Niksch, Adam / Valasek, John | AIAA | 2010
    Schlagwörter: Reinforcement Learning

    Neural-empirical tyre model based on recursive lazy learning under combined longitudinal and lateral slip conditions

    Boada, M. J. L. / Boada, B. L. / Garcia-Pozuelo, D. et al. | Springer Verlag | 2011
    Schlagwörter: Recursive Lazy learning

    Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings

    Boussemart, Yves / Cummings, Mary L. / Fargeas, Jonathan Las et al. | AIAA | 2011
    Schlagwörter: Machine Learning

    Road identification in monocular color images using random forest and color correlogram

    Choi, J. H. / Song, G. Y. / Lee, J. W. | Springer Verlag | 2012
    Schlagwörter: Learning paradigm

    Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal Control

    El-Tantawy, Samah / Abdulhai, Baher / Abdelgawad, Hossam | Taylor & Francis Verlag | 2014
    Schlagwörter: Reinforcement Learning , Temporal Difference Learning

    Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante

    Raynard, Thierry | IuD Bahn | 2014
    Schlagwörter: Betriebliches Lernen

    Learning Drivers’ Behavior to Improve Adaptive Cruise Control

    Rosenfeld, Avi / Bareket, Zevi / Goldman, Claudia V. et al. | Taylor & Francis Verlag | 2015
    Schlagwörter: Machine Learning

    Driving cycle recognition neural network algorithm based on the sliding time window for hybrid electric vehicles

    Wang, J. / Wang, Q. N. / Zeng, X. H. et al. | Springer Verlag | 2015
    Schlagwörter: Learning vector quantization

    Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

    Stocker, Markus / Silvonen, Paula / Rönkkö, Mauno et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: Machine Learning

    Multimode trip information detection using personal trajectory data

    Yang, Fei / Yao, Zhenxing / Cheng, Yang et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: machine learning algorithm

    Drowsy behavior detection based on driving information

    Wang, M. S. / Jeong, N. T. / Kim, K. S. et al. | Springer Verlag | 2016
    Schlagwörter: Ensemble machine learning method

    Using kinematic driving data to detect sleep apnea treatment adherence

    McDonald, Anthony D. / Lee, John D. / Aksan, Nazan S. et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning

    Application of iterative learning control in tracking a Dubin’s path in parallel parking

    Panomruttanarug, Benjamas | Springer Verlag | 2017
    Schlagwörter: Iterative learning control

    Neural-network-based modelling and analysis for time series prediction of ship motion

    Li, Guoyuan / Kawan, Bikram / Wang, Hao et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: learning strategy

    The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework

    Guo, Fangce / Krishnan, Rajesh / Polak, John | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning method

    Artificial intelligence for traffic signal control based solely on video images

    Jeon, Hyunjeong / Lee, Jincheol / Sohn, Keemin | Taylor & Francis Verlag | 2018
    Schlagwörter: deep learning , reinforcement learning (RL)

    Iterative Learning Control Algorithm for Feedforward Controller of EGR and VGT Systems in a CRDI Diesel Engine

    Min, Kyunghan / Sunwoo, Myoungho / Han, Manbae | Springer Verlag | 2018
    Schlagwörter: Learning control , Iterative learning control

    Learning-based traffic signal control algorithms with neighborhood information sharing: An application for sustainable mobility

    Aziz, H. M. Abdul / Zhu, Feng / Ukkusuri, Satish V. | Taylor & Francis Verlag | 2018
    Schlagwörter: reinforcement learning

    Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry

    Freier Zugriff
    Stratmann, Philipp / Albu-Schäffer, Alin / Jörntell, Henrik | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2018
    Schlagwörter: motor learning

    New Optimal Power Management Strategy for Series Plug-In Hybrid Electric Vehicles

    Taherzadeh, Erfan / Javadi, Shahram / Dabbaghjamanesh, Morteza | Springer Verlag | 2018
    Schlagwörter: Teaching-Learning Based Optimization (TLBO)

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning , machine learning

    Asynchronous n-step Q-learning adaptive traffic signal control

    Genders, Wade / Razavi, Saiedeh | Taylor & Francis Verlag | 2019
    Schlagwörter: reinforcement learning

    Learning To Recognize Driving Patterns For Collectively Characterizing Electric Vehicle Driving Behaviors

    Lee, Chung-Hong / Wu, Chih-Hung | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Development of a Machine Learning Based Fast Running Model to Determine Rapidly the Process Conditions in Drawing Process

    Cho, Donghyuk / Lee, Youngseog | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Adaptive Control Strategy Extracted from Dynamic Programming and Combined with Driving Pattern Recognition for SPHEB

    Lin, Xinyou / Li, Hailin | Springer Verlag | 2019
    Schlagwörter: Learning vector quantization

    Simultaneous Learning Optimization of Hamiltonian Systems and Trajectory Tracking Around an Asteroid

    Taniguchi, Asuto / Satoh, Satoshi / Yamada, Katsuhiko | AIAA | 2019
    Schlagwörter: Iterative Learning Control

    Coordinated Orbit–Attitude–Vibration Control of a Sun-Facing Solar Power Satellite

    Li, Qingjun / Deng, Zichen | AIAA | 2019
    Schlagwörter: Iterative Learning Control

    Space Situational Awareness Sensor Tasking: Comparison of Machine Learning with Classical Optimization Methods

    Little, Bryan D. / Frueh, Carolin E. | AIAA | 2019
    Schlagwörter: Reinforcement Learning

    Phi-Net: Deep Residual Learning for InSAR Parameters Estimation

    Freier Zugriff
    Sica, Francescopaolo / Gobbi, Giorgia / Rizzoli, Paola et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Residual Learning , Deep Learning

    A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping

    Freier Zugriff
    Sica, Francescopaolo / Calvanese, Francesco / Scarpa, Giuseppe et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: Deep Learning

    Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning

    Xu, Ming / Wu, Jianping / Huang, Ling et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: deep reinforcement learning

    Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning

    Du, Zhuo / Miao, Qiheng / Zong, Changfu | Springer Verlag | 2020
    Schlagwörter: Deep reinforcement learning

    Identifying traffic conditions from non-traffic related sources

    Chamby-Diaz, Jorge C. / Estevam, Rhuam Sena / Bazzan, Ana L. C. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning