if the dimension shuffle is applied, the LSTM will require M time steps to process Q variables per time step. In other words, the dimension shuffle improves the efficiency of the model when the number of variables M is less than the number of...
Prediction of Stock Index Pattern via three-stage architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNsShaik, AmjanBisht, NitinKumar, VijayRaghvendra, NiharGupta, RohitJournal of Algebraic Statistics
Multivariate LSTM-FCNs for time series classification 来自 科研支点 喜欢 0 阅读量: 745 作者:F Karim,S Majumdar,H Darabi,S Harford 摘要: Over the past decade, multivariate time series classification has been receiving a lot of attention. We propose augmenting the existing univariate time series ...
Multivariate LSTM-FCNs for Time Series Classification 论文理解,基础知识Q1:什么是时间序列?**A1:**时间序列是一组按时间顺序的数字序列,它既
The proposed FCNs〤onvLSTM model is trained and evaluated on extensively used dataset, and the results demonstrate that it performs better on recall rate (0.52 to 0.64) with a similar level on precision rate (0.72) when threshold is 125 and it also gets an increase on maximum F﹎easure (...