RNN-LSTM: From applications to modeling techniques and …
Jun 1, 2024 · LSTM has been specifically designed to address the issue of vanishing gradients, which makes vanilla RNNs unsuitable for learning long-term dependencies (Jaydip and Sidra, …
Long Short-Term Memory Network - an overview - ScienceDirect
Network LSTM refers to a type of Long Short-Term Memory (LSTM) network architecture that is particularly effective for learning from sequences of data, utilizing specialized structures and …
LSTM-ARIMA as a hybrid approach in algorithmic investment …
Jun 23, 2025 · This study makes a significant contribution to the growing field of hybrid financial forecasting models by integrating LSTM and ARIMA into a novel algorithmic investment …
Fundamentals of Recurrent Neural Network (RNN) and Long Short …
Mar 1, 2020 · Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in scientific journals, technical blo…
Does MC-LSTM model improve the reliability of streamflow …
This study investigates whether the Mass-Conserving Long Short-Term Memory (MC-LSTM) model improves prediction reliability compared to the state-of-the-art LSTM. We evaluated …
Lstm - an overview | ScienceDirect Topics
Aug 31, 2018 · LSTM, or Long Short-Term Memory networks, is defined as a type of neural network that extends Recurrent Neural Networks (RNN) to handle long-term dependencies by …
A survey on anomaly detection for technical systems using LSTM …
Oct 1, 2021 · However, due to the recent emergence of different LSTM approaches that are widely used for different anomaly detection purposes, the present paper aims to present a …
Performance analysis of neural network architectures for time …
Dec 1, 2025 · LSTM-based hybrid architectures, particularly LSTM-RNN and LSTM-GRU configurations, demonstrate reliable performance across multiple domains and should be …
A critical review of RNN and LSTM variants in ... - ScienceDirect
Dec 1, 2024 · The selection and implementation of RNNs and LSTM variants, independently or in combination with other models, necessitates a profound grasp of their architectural intricacies …
Comparing Long Short-Term Memory (LSTM) and bidirectional …
Nov 1, 2023 · The LSTM network is a type of deep Recurrent Neural Network (RNN). RNNs are networks with one or more feedback loops for temporal processing, with two basic uses …