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RNN-LSTM: From applications to modeling techniques and beyond ...
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 sequential data with long-term dependencies. Despite its popul...
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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 gating mechanisms to maintai...
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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 time-variant system dynamics...
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PI-LSTM: Physics-informed long short-term memory ... -...
Oct 1, 2023 · The PI-LSTM network, inspired by and compared with existing physics-informed deep learning models (PhyCNN and PhyLSTM), was validated using the numerical simulation results of the single-degree-of-freedo...
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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 considered as primary candidates for time series...
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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 strategy. The approach incorpora...
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Convolutional LSTM - an overview | ScienceDirect Topics
Convolutional LSTM (ConvLSTM) is an important extension of LSTM, which takes a series of two-dimensional matrices as the input. ConvLSTM has been used in the spatial–temporal prediction problem when the spatial area i...
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Bidirectional Long Short-Term Memory Network - ScienceDirect
Long Short-Term Memory (LSTM) networks [55] are a form of recurrent neural network that overcomes some of the drawbacks of typical recurrent neural networks. Any LSTM unit's cell state and three gates (forget, input, ...
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Fundamentals of Recurrent Neural Network (RNN) and Long...
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 practitioners, even if new to the RN...
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LSTM and GRU type recurrent neural networks in model predictive...
Jun 1, 2025 · Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) neural networks are known for their capability of modeling numerous dynamical phenomena.…