Synonyme wurden verwendet für: Memory
Suche ohne Synonyme: keywords:(Long Short-Term Memory)

1–20 von 154 Ergebnissen
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    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Schlagwörter: Short-term demand forecasting , Fusion convolutional long short-term memory network (FCL-Net) , Long short-term memory (LSTM)

    Deep Reinforcement Learning with LSTM-based Exploration Bonus

    Freier Zugriff
    양진호 | BASE | 2017
    Schlagwörter: Long-Short Term Memory Networks

    LSTM network: a deep learning approach for short‐term traffic forecast

    Freier Zugriff
    Zhao, Zheng / Chen, Weihai / Wu, Xingming et al. | Wiley | 2017
    Schlagwörter: longshortterm memory network , memory units , shortterm traffic forecasting

      LSTM network: a deep learning approach for short-term traffic forecast

      Freier Zugriff
      Zhao, Zheng / Chen, Weihai / Wu, Xingming et al. | IET | 2017
      Schlagwörter: memory units , short-term traffic forecasting , long-short-term memory network

    Rainfall-integrated traffic speed prediction using deep learning method

    Freier Zugriff
    Jia, Yuhan / Wu, Jianping / Ben-Akiva, Moshe et al. | IET | 2017
    Schlagwörter: long short-term memory , short-term traffic speed prediction

      Rainfall‐integrated traffic speed prediction using deep learning method

      Freier Zugriff
      Jia, Yuhan / Wu, Jianping / Ben‐Akiva, Moshe et al. | Wiley | 2017
      Schlagwörter: long shortterm memory , shortterm traffic speed prediction

    Traffic Congestion Prediction Based on Long-Short Term Memory Neural Network Models

    Chen, Min / Yu, Guizhen / Chen, Peng et al. | ASCE | 2018
    Schlagwörter: long-short term memory neural networks

    Short-term prediction of lane-level traffic speeds: A fusion deep learning model

    Gu, Yuanli / Lu, Wenqi / Qin, Lingqiao et al. | Elsevier | 2019
    Schlagwörter: Short-term prediction , Long short-term memory neural network

    A data-driven lane-changing model based on deep learning

    Xie, Dong-Fan / Fang, Zhe-Zhe / Jia, Bin et al. | Elsevier | 2019
    Schlagwörter: Long short-term memory

    Simultaneous modeling of car-following and lane-changing behaviors using deep learning

    Zhang, Xiaohui / Sun, Jie / Qi, Xiao et al. | Elsevier | 2019
    Schlagwörter: Long Short-Term Memory

    Direct generation of level of service maps from images using convolutional and long short-term memory networks

    Li, Yan / Khoshelham, Kourosh / Sarvi, Majid et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: long short-term memory

    An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction

    Lee, Seunghyeon / Xie, Kun / Ngoduy, Dong et al. | Elsevier | 2019
    Schlagwörter: Long short-term memory network

    Ego-Vehicle Speed Prediction Using a Long Short-Term Memory Based Recurrent Neural Network

    Yeon, Kyuhwan / Min, Kyunghan / Shin, Jaewook et al. | Springer Verlag | 2019
    Schlagwörter: Long short-term memory

    Fuzzy hybrid framework with dynamic weights for short-term traffic flow prediction by mining spatio-temporal correlations

    Freier Zugriff
    Ma, Dongfang / Sheng, Bowen / Ma, Xiaolong et al. | IET | 2019
    Schlagwörter: short-term traffic flow prediction , long-short-term memory

      Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations

      Freier Zugriff
      Ma, Dongfang / Sheng, Bowen / Ma, Xiaolong et al. | Wiley | 2020
      Schlagwörter: shortterm traffic flow prediction , longshortterm memory

    Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features

    Freier Zugriff
    Yang, Dan / Chen, Kairun / Yang, Mengning et al. | IET | 2019
    Schlagwörter: short-term features , improved model enhanced long-term features , long-short-term memory , long temporal dependency features , long temporal dependence

      Urban rail transit passenger flow forecast based on LSTM with enhanced long‐term features

      Freier Zugriff
      Yang, Dan / Chen, Kairun / Yang, Mengning et al. | Wiley | 2019
      Schlagwörter: shortterm features , long temporal dependence , longshortterm memory , long temporal dependency features , improved model enhanced long‐term features

    Investigating long‐term vehicle speed prediction based on BP‐LSTM algorithms

    Freier Zugriff
    Yufang, Li / Mingnuo, Chen / Wanzhong, Zhao | Wiley | 2019
    Schlagwörter: long‐term vehicle speed prediction , back propagation‐long shortterm memory , long‐term individual vehicle speed prediction , long‐term prediction , shortterm prediction

      Investigating long-term vehicle speed prediction based on BP-LSTM algorithms

      Freier Zugriff
      Yufang, Li / Mingnuo, Chen / Wanzhong, Zhao | IET | 2019
      Schlagwörter: long-term vehicle speed prediction , long-term individual vehicle speed prediction , back propagation-long short-term memory , long-term prediction , short-term prediction

    Long short‐term memory and convolutional neural network for abnormal driving behaviour recognition

    Freier Zugriff
    Jia, Shuo / Hui, Fei / Li, Shining et al. | Wiley | 2020
    Schlagwörter: long shortterm memory network

      Long short-term memory and convolutional neural network for abnormal driving behaviour recognition

      Freier Zugriff
      Jia, Shuo / Hui, Fei / Li, Shining et al. | IET | 2019
      Schlagwörter: long short-term memory network

    HI-SEAS habitat energy requirements and forecasting

    Engler, S.T. / Binsted, K. / Leung, H. | Elsevier | 2019
    Schlagwörter: Long Short Term Memory

    A fast and accurate hybrid simulation model for the large-scale testing of automated driving functions

    Fraikin, Nicolas / Funk, Kilian / Frey, Michael et al. | SAGE Publications | 2020
    Schlagwörter: long-short-term-memory

    A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service

    Kim, Taehooie / Sharda, Shivam / Zhou, Xuesong et al. | Elsevier | 2020
    Schlagwörter: Short-term demand forecasting , Long short-term memory (LSTM)

    A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions

    Jiang, Feifeng / Yuen, Kwok Kit Richard / Lee, Eric Wai Ming | Elsevier | 2020
    Schlagwörter: Long short-term memory networks

    A shock wave diagram based deep learning model for early alerting an upcoming public event

    Yang, Hanyi / Du, Lili / Mohammadi, Jamshid | Elsevier | 2020
    Schlagwörter: Long-short term memory