LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection(EncDec-AD),程序员大本营,技术文章内容聚合第一站。
Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation. arXiv 2014, arXiv:1406.1078. [Google Scholar] Dey, R.; Salem, F.M. Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks. In Proceedings of the 2017 IEEE 60th International Midwest Symposium on ...
在一项使用大数据来预测和改进学习者记忆保留的工作中,研究人员结合广义幂律函数,提出 DASH 模型来估计学习者对材料的遗忘情况,通过材料的难度、学习者的能力和学习历史来估计公式 (2-2) 中的参数大小[16]。 2.1.3 ACT-R 陈述性记忆模块 Pavlikp 和 Anderson[17]使用以下模型来描述遗忘过程 m_\mathrm{n}(t_...
Sun, Y., Wu, H., Gong, J., & Lei, Y. (2020). A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction.Neurocomputing,403, 153–166.https://doi.org/10.1016/j.neucom.2020.03.080
The hidden states of the stacked layer are fed into the encoder input. Then, the encoder processes the input sequence and forms the cell state network to be used by the decoder to estimate the output sequence. The decoder uses the estimated previous sample (𝑠′𝑛−1s′n−1) to ...
First, the encoder receives the compressed input data and implements them in the hidden layer. Then, the compressed input data from the previous stage are reconstructed using the decoder stage. As the last layer of the encoder stage does not return a sequence, a repeat vector is required to ...
(b) Decoder The decoder is also composed of a stack of N identical decoder layers. The structure is similar to that of the encoder. The overall equation for the 𝑙𝑡ℎlth decoder layer can be summarized as 𝑋𝑙de=Decoder(𝑋𝑙−1de,𝑋𝑁en)Xdel=DecoderXdel−1,XenN. Th...
Xiong, X.; Bhujel, N.; Teoh, E.; Yau, W. Prediction of Pedestrian Trajectory in a Crowded Environment Using RNN Encoder-Decoder. In Proceedings of the ICRAI ’19: 2019 5th International Conference on Robotics and Artificial Intelligence, Singapore, 22–24 November 2019. [Google Scholar] Liu...
Xiong, X.; Bhujel, N.; Teoh, E.; Yau, W. Prediction of Pedestrian Trajectory in a Crowded Environment Using RNN Encoder-Decoder. In Proceedings of the ICRAI ’19: 2019 5th International Conference on Robotics and Artificial Intelligence, Singapore, 22–24 November 2019. [Google Scholar] Liu...
The repeat vector layer repeats the context vector received from the encoder and feeds it to the decoder as an input. This is repeated for n steps, where n is the number of future steps that must be predicted [108]. Similarly, to maintain one-to-one relationships on input and output, ...