Synonyme wurden verwendet für: learning
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1–50 von 204 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

    MODELLING LEARNING AND ADAPTATION IN TRANSPORTATION CONTEXTS

    Arentze, Theo / Timmermans, Harry | Taylor & Francis Verlag | 2005
    Schlagwörter: learning and adaptation

    Wake distribution prediction on the propeller plane in ship design using artificial intelligence

    Kim, S.-Y. / Moon, B. Y. | Taylor & Francis Verlag | 2006
    Schlagwörter: learning algorithm

    Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design

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

    Driver steering and muscle activity during a lane-change manoeuvre

    Pick, Andrew J. / Cole, David J. | Taylor & Francis Verlag | 2007
    Schlagwörter: Learning

    Short-term prediction of traffic dynamics with real-time recurrent learning algorithms

    Sheu, Jiuh-Biing / Lan, Lawrence W. / Huang, Yi-San | Taylor & Francis Verlag | 2009
    Schlagwörter: real-time recurrent learning

    An automated GPS-based prompted recall survey with learning algorithms

    Auld, Joshua / Williams, Chad / Mohammadian, Abolfazl et al. | Taylor & Francis Verlag | 2009
    Schlagwörter: Learning Algorithms

    Towards multi-agent reinforcement learning for integrated network of optimal traffic controllers (MARLIN-OTC)

    El-Tantawy, Samah / Abdulhai, Baher | Taylor & Francis Verlag | 2010
    Schlagwörter: Reinforcement Learning , Multi-Agent Reinforcement Learning

    Consumer learning behavior in choosing electric motorcycles

    Sung, Yen-Ching | Taylor & Francis Verlag | 2010
    Schlagwörter: Bayesian learning

    Integrated driver modelling considering state transition feature for individual adaptation of driver assistance systems

    Raksincharoensak, Pongsathorn / Khaisongkram, Wathanyoo / Nagai, Masao et al. | Taylor & Francis Verlag | 2010
    Schlagwörter: statistical machine learning

    Motivating Motorists to Voluntarily Slow Down

    Spiegel, Rainer / Kalla, Roger / Spiegel, Frank et al. | Taylor & Francis Verlag | 2010
    Schlagwörter: learning

    On the potential for recognising of social interaction and social learning in modelling travellers’ change of behaviour under uncertainty

    Sunitiyoso, Yos / Avineri, Erel / Chatterjee, Kiron | Taylor & Francis Verlag | 2011
    Schlagwörter: social learning

    A behavioral analysis of freight mode choice decisions

    Samimi, Amir / Kawamura, Kazuya / Mohammadian, Abolfazl | Taylor & Francis Verlag | 2011
    Schlagwörter: machine learning

    Towards a learning-based mode shift model: a conceptual framework

    Idris, Ahmed / Shalaby, Amer / Habib, Khandker | Taylor & Francis Verlag | 2012
    Schlagwörter: Reinforcement Learning

    A unified framework of proactive self-learning dynamic pricing for high-occupancy/toll lanes

    Lou, Yingyan | Taylor & Francis Verlag | 2013
    Schlagwörter: self-learning

    Agent-based modeling of cognitive learning of dynamic activity-travel patterns

    Cenani, Sehnaz / Arentze, Theo A / Timmermans, Harry J P | Taylor & Francis Verlag | 2013
    Schlagwörter: Cognitive learning

    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

    Learning Drivers’ Behavior to Improve Adaptive Cruise Control

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

    EasyJet pricing strategy: determinants and developments

    Malighetti, Paolo / Paleari, Stefano / Redondi, Renato | Taylor & Francis Verlag | 2015
    Schlagwörter: demand learning

    Collaborative Stakeholder Dialogue: A Catalyst for Better Transport Policy Choices

    Baumann, Christiane / White, Stuart | Taylor & Francis Verlag | 2015
    Schlagwörter: learning

    Multi-objective traffic signal control model for traffic management

    Long, Q. / Zhang, J.-F. / Zhou, Z.-M. | Taylor & Francis Verlag | 2015
    Schlagwörter: Q-learning algorithm

    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

    Safe incident reporting in out-of-hours primary care: an exploratory study

    Augustyns, Nele / Lesaffer, Caroline / Teughels, Stefan et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: Learning from adverse events

    Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities

    Sun, Longsheng / Karwan, Mark H. / Kwon, Changhyun | Taylor & Francis Verlag | 2016
    Schlagwörter: dynamic learning

    Causal structure learning for travel mode choice using structural restrictions and model averaging algorithm

    Freier Zugriff
    Ma, Tai-Yu / Chow, Joseph Y. J. / Xu, Jia | Taylor & Francis Verlag | 2017
    Schlagwörter: structure learning algorithm

    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

    A self-learning system for local ramp metering with queue management

    Lu, Chao / Huang, Jie | Taylor & Francis Verlag | 2017
    Schlagwörter: reinforcement learning

    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

    An iterative learning approach for anticipatory traffic signal control on urban networks

    Huang, Wei / Viti, Francesco / Tampère, Chris M.J. | Taylor & Francis Verlag | 2017
    Schlagwörter: iterative learning

    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

    Data-driven train set crash dynamics simulation

    Tang, Zhao / Zhu, Yunrui / Nie, Yinyu et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning

    Road accident data analysis using Bayesian networks

    Karimnezhad, Ali / Moradi, Fahimeh | Taylor & Francis Verlag | 2017
    Schlagwörter: Structure learning

    A multi-agent learning approach for online calibration and consistency checking of real-time traffic network management systems

    Hashemi, Hossein / Abdelghany, Khaled F. / Abdelghany, Ahmed F. | Taylor & Francis Verlag | 2017
    Schlagwörter: multi-agent learning

    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)

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    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

    Inferring passenger types from commuter eigentravel matrices

    Legara, Erika Fille T. / Monterola, Christopher P. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    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

    Alighting stop determination using two-step algorithms in bus transit systems

    Yan, Fenfan / Yang, Chao / Ukkusuri, Satish V. | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    Travel mode choice: a data fusion model using machine learning methods and evidence from travel diary survey data

    Chang, Ximing / Wu, Jianjun / Liu, Hao et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    Forecasting road traffic conditions using a context-based random forest algorithm

    Evans, Jonny / Waterson, Ben / Hamilton, Andrew | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    Asynchronous n-step Q-learning adaptive traffic signal control

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

    Investigating an SVM-driven, one-class approach to estimating ship systems condition

    Lazakis, Iraklis / Gkerekos, Christos / Theotokatos, Gerasimos | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

    Zhang, Weibin / Yu, Yinghao / Qi, Yong et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: deep learning

    Equality of public transit connectivity: the influence of mass rapid transit services on individual buildings for Singapore

    Li, Zengxiang / Ren, Shen / Hu, Nan et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: machine learning

    PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

    Ke, Jintao / Zhang, Shuaichao / Yang, Hai et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: cost-sensitive learning

    Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

    Freier Zugriff
    Munim, Ziaul Haque / Dushenko, Mariia / Jimenez, Veronica Jaramillo et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control

    Berntorp, K. / Quirynen, R. / Uno, T. et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: parameter learning