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

1–14 von 14 Ergebnissen
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    DIPNet: Driver intention prediction for a safe takeover transition in autonomous vehicles

    Freier Zugriff
    Bonyani, Mahdi / Rahmanian, Mina / Jahangard, Simindokht et al. | Wiley | 2023
    Schlagwörter: long shortterm memory

    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

    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

    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: convolutional neural network , long shortterm memory network

    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

    Short‐term traffic congestion prediction with Conv–BiLSTM considering spatio‐temporal features

    Freier Zugriff
    Li, Tao / Ni, Anning / Zhang, Chunqin et al. | Wiley | 2020
    Schlagwörter: convolutional neural network , bidirectional long shortterm memory , convolutional neural nets

    Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning framework

    Freier Zugriff
    Bao, Jie / Yu, Hao / Wu, Jiaming | Wiley | 2019
    Schlagwörter: convolutional neural network , shortterm memory , convolutional neural nets , shortterm FFBS demand prediction , shortterm travel demand

    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

    Convolutional LSTM based transportation mode learning from raw GPS trajectories

    Freier Zugriff
    Nawaz, Asif / Zhiqiu, Huang / Senzhang, Wang et al. | Wiley | 2020
    Schlagwörter: deep learning‐based convolutional long short term memory model , convolutional neural nets , convolutional LSTM‐based transportation mode

    Multi‐step traffic speed prediction model with auxiliary features on urban road networks and its understanding

    Freier Zugriff
    Guo, Jinlong / Song, Chunyue / Zhang, Hao et al. | Wiley | 2020
    Schlagwörter: long‐term traffic speed , graph convolutional network , convolutional neural nets , embedding graph convolutional long shortterm memory network

    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

    Driver identification using 1D convolutional neural networks with vehicular CAN signals

    Freier Zugriff
    Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | Wiley | 2020
    Schlagwörter: 1D convolutional neural networks , convolutional neural nets , long shortterm memory model , one‐dimensional convolutional neural network , convolutional‐pooling layers

    Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short‐term memory units

    Freier Zugriff
    Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | Wiley | 2019
    Schlagwörter: deep convolutional layers , end‐to‐end trainable convolutional neural network , shortterm memory units

    Short‐term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

    Freier Zugriff
    Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | Wiley | 2020
    Schlagwörter: shortterm memory , graph convolutional recurrent neural network