Synonyme wurden verwendet für: nets
Suche ohne Synonyme: keywords:(recurrent neural nets)

1–20 von 37 Ergebnissen
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    Auxiliaries’ power and energy demand prediction of battery electric vehicles using system identification and deep learning

    Freier Zugriff
    Schäfers, Lukas / Franke, Kai / Savelsberg, Rene et al. | Wiley | 2024
    Schlagwörter: recurrent neural nets

    Enhanced road information representation in graph recurrent network for traffic speed prediction

    Freier Zugriff
    Lei Chang / Cheng Ma / Kai Sun et al. | DOAJ | 2023
    Schlagwörter: neural nets , recurrent neural nets

    Enhanced road information representation in graph recurrent network for traffic speed prediction

    Freier Zugriff
    Chang, Lei / Ma, Cheng / Sun, Kai et al. | Wiley | 2023
    Schlagwörter: neural nets , recurrent neural nets , enhanced road information representation in graph recurrent network (En‐GRN)

    Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach

    Freier Zugriff
    Zhang, Da / Kabuka, Mansur R. | Wiley | 2018
    Schlagwörter: recurrent neural nets , recurrent neural network , gated recurrent unit‐based deep learning framework

    Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

    Freier Zugriff
    Zhang, Da / Kabuka, Mansur R. | IET | 2018
    Schlagwörter: recurrent neural network , gated recurrent unit-based deep learning framework , recurrent neural nets

    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. | IET | 2020
    Schlagwörter: graph convolutional recurrent neural network , neural nets , recurrent neural nets

    Urban traffic flow online prediction based on multi‐component attention mechanism

    Freier Zugriff
    Sun, Bo / Sun, Tuo / Zhang, Yujia et al. | Wiley | 2020
    Schlagwörter: recurrent neural nets , recurrent neural network , one‐dimensional convolutional neural network , convolutional neural nets

    Urban traffic flow online prediction based on multi-component attention mechanism

    Freier Zugriff
    Sun, Bo / Sun, Tuo / Zhang, Yujia et al. | IET | 2020
    Schlagwörter: convolutional neural nets , one-dimensional convolutional neural network , recurrent neural network , recurrent neural nets

    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: recurrent neural nets , neural nets , graph convolutional recurrent neural network

    Using spatio‐temporal deep learning for forecasting demand and supply‐demand gap in ride‐hailing system with anonymised spatial adjacency information

    Freier Zugriff
    Rahman, Md. Hishamur / Rifaat, Shakil Mohammad | Wiley | 2021
    Schlagwörter: Neural nets , convolutional neural network , recurrent neural network

    Crowding prediction on mass rapid transit systems using a weighted bidirectional recurrent neural network

    Freier Zugriff
    Hu, Rong / Chiu, Yi-Chang / Hsieh, Chih-Wei | IET | 2020
    Schlagwörter: neural nets , weighted bidirectional recurrent neural network , weighted resample bidirectional recurrent neural network , recurrent neural nets

    Auxiliaries’ power and energy demand prediction of battery electric vehicles using system identification and deep learning

    Freier Zugriff
    Lukas Schäfers / Kai Franke / Rene Savelsberg et al. | DOAJ | 2024
    Schlagwörter: recurrent neural nets

    Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture

    Freier Zugriff
    Chen, Guang / Liu, Shu / Ren, Kejia et al. | Wiley | 2019
    Schlagwörter: neural nets , recurrent neural networks , recurrent neural nets , neural architecture

    Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture

    Freier Zugriff
    Chen, Guang / Liu, Shu / Ren, Kejia et al. | IET | 2019
    Schlagwörter: neural nets , neural architecture , recurrent neural networks , recurrent neural nets

    Urban road traffic condition forecasting based on sparse ride‐hailing service data

    Freier Zugriff
    Jia, Ruo / Li, Zhekang / Xia, Yan et al. | Wiley | 2020
    Schlagwörter: recurrent unit models , convolutional neural nets , recurrent neural nets

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

    Freier Zugriff
    Li, Tao / Ni, Anning / Zhang, Chunqin et al. | IET | 2021
    Schlagwörter: convolutional neural nets , convolutional neural network , recurrent neural nets

    Urban road traffic condition forecasting based on sparse ride-hailing service data

    Freier Zugriff
    Jia, Ruo / Li, Zhekang / Xia, Yan et al. | IET | 2020
    Schlagwörter: convolutional neural nets , recurrent unit models , recurrent neural nets

    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: recurrent neural nets , convolutional neural network , convolutional neural nets

    Predicting station level demand in a bike‐sharing system using recurrent neural networks

    Freier Zugriff
    Chen, Po‐Chuan / Hsieh, He‐Yen / Su, Kuan‐Wu et al. | Wiley | 2020
    Schlagwörter: recurrent neural nets , recurrent neural network

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

    Freier Zugriff
    Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
    Schlagwörter: convolutional neural nets , artificial neural network , hybrid deep learning neural network , convolutional neural network , recurrent neural nets