A survey on long short-term memory networks for time series …
Jan 1, 2021 · Recurrent neural networks and exceedingly Long short-term memory (LSTM) have been investigated intensively in recent years due to their ability to model and predict nonlinear …
Working Memory Connections for LSTM - ScienceDirect
Dec 1, 2021 · In our experiments, we show that an LSTM equipped with Working Memory Connections achieves better results than comparable architectures, thus reflecting the …
RNN-LSTM: From applications to modeling techniques and …
Jun 1, 2024 · Long Short-Term Memory (LSTM) is a popular Recurrent Neural Network (RNN) algorithm known for its ability to effectively analyze and process sequentia…
Long Short-Term Memory Network - an overview - ScienceDirect
Jul 7, 2020 · A Long Short-Term Memory Network, also known as LSTM, is an advanced recurrent neural network that uses "gates" to capture both long-term and short-term memory. …
Physics-informed multi-LSTM networks for metamodeling of …
Sep 1, 2020 · This paper introduces an innovative physics-informed deep learning framework for metamodeling of nonlinear structural systems with scarce data. The ba…
Fundamentals of Recurrent Neural Network (RNN) and Long Short …
Mar 1, 2020 · All major open source machine learning frameworks offer efficient, production-ready implementations of a number of RNN and LSTM network architectures. Naturally, some …
Long Short-Term Memory - an overview | ScienceDirect Topics
LSTM addresses the vanishing gradient problem by providing longer-lived short-term memory to preserve information across timesteps. Generally, an LSTM node contains a memory cell, an …
Stock Market Prediction Using LSTM Recurrent Neural Network
Jan 1, 2020 · It has never been easy to invest in a set of assets, the abnormally of financial market does not allow simple models to predict future asset values wi…
Interpretable spatio-temporal attention LSTM model for flood ...
Aug 25, 2020 · LSTM-based methods Long Short Term Memory (LSTM) is a modified version of recurrent neural networks, which is proposed to solve the problem of long-distance (time) …
Predicting stock market index using LSTM - ScienceDirect
Sep 15, 2022 · The rapid advancement in artificial intelligence and machine learning techniques, availability of large-scale data, and increased computational capabi…