TPA-LSTM Original Implementation of ''Temporal Pattern Attention for Multivariate Time Series Forecasting''. Dependencies python3.6.6 You can check and install other dependencies in requirements.txt. $ pip install -r requirements.txt # to install TensorFlow, you can refer to https://www.tensorflow...
To obtain accurate prediction, it is crucial to model long-term dependency in time series data, which can be achieved by recurrent neural networks (RNNs) with an attention mechanism. The typical attention mechanism reviews the information at each previous time step and selects relevant information...
However, it demands constant human observation and attention in human-ba... M Asad,H Jiang,J Yang,... - 《International Journal of Pattern Recognition & Artificial Intelligence》 被引量: 0发表: 2022年 加载更多0关于我们 百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研...
the extracted vibration features and the oil monitoring data that can intuitively reflect the wear process information are jointly input into the bi-directional long short-term memory neural network based on temporal pattern attention mechanism(TPA-BiLSTM),the complex nonlinear relationship between ...
urban underground space (UUS); subway station; short-term passenger flow forecast; temporal pattern attention (TPA); long short-term memory network (LSTM)1. Introduction The development and utilization of urban underground space (UUS) can optimize urban spatial structure, improve urban infrastructure,...
Temporal Pattern Attention for Multivariate Time Series Forecasting. arXiv 2019, arXiv:1809.04206. [Google Scholar] Fang, X.; Huang, J.; Wang, F.; Zeng, L.; Wang, H. ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps. In Proceedings of ...
Temporal pattern attention for multivariate time series forecasting. Mach. Learn. 2019, 108, 1421–1441. [Google Scholar] [CrossRef] [Green Version] Zhang, Z.; Cui, P.; Zhu, W. Deep Learning on Graphs: A Survey. IEEE Trans. Knowl. Data Eng. 2020, 34, 249–270. [Google Scholar] ...
Figure 3. Spatial pattern analysis. (a) Spatial distribution of the per capita disposable income of rural residents in 37 counties of Chongqing; (b) spatial distribution of the urban–rural income ratio in 37 counties of Chongqing; (c) spatial distribution of poverty-stricken and non-poverty-st...
China's central government has implemented policies to address the contradiction, and the dynamic change of farmland and its driving forces have attracted the attention of scholars. However, most of these study areas focused on the development of nations, provinces and urban agglomeration. Only a ...
Further developments in this domain include attention schemes. These provide additional intermediate connections between encoder and decoder layers, which are beneficial for translations of longer sequences [4]. In many sequential applications, the common input form is xt ∈ Rd with a given depth d....