A survey on long short-term memory networks for time series …
2021年1月1日 · 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 …
Working Memory Connections for LSTM - ScienceDirect
2021年12月1日 · Comparison among traditional LSTM, the proposed LSTM with working memory connections, and peephole LSTM. We investigate three different tasks: the adding problem …
RNN-LSTM: From applications to modeling techniques and …
2024年6月1日 · Long Short-Term Memory (LSTM) is a popular (RNN) algorithm known for its ability to effectively analyze and process sequential data with long-term dependencies. …
Research on Stock Price Prediction Method Based on the GAN …
2025年1月3日 · The GAN-LSTM-Attention model forms a comprehensive model that performs well in stock price prediction by effectively integrating the time series processing ability of …
PI-LSTM: Physics-informed long short-term memory
2023年10月1日 · The PI-LSTM network, inspired by and compared with existing physics-informed deep learning models (PhyCNN and PhyLSTM), was validated using the numerical simulation …
Stock Market Prediction Using LSTM Recurrent Neural Network
2020年1月1日 · Every LSTM node most be consisting of a set of cells responsible of storing passed data streams, the upper line in each cell links the models as transport line handing …
Fundamentals of Recurrent Neural Network (RNN) and Long Short …
2020年3月1日 · All major open source machine learning frameworks offer efficient, production-ready implementations of a number of RNN and LSTM network architectures. Naturally, some …
Model Predictive Control when utilizing LSTM as dynamic models
2023年8月1日 · The prediction model is the most important part of an MPC strategy. The accuracy of such a model influences the quality of predictions and control per…
Multiscale attention-based LSTM for ship motion prediction
2021年6月15日 · To improve the performance of LSTM in ship motion prediction, this paper presents a novel method named as multiscale attention-based LSTM. At first, wavelet …
Predicting stock market index using LSTM - ScienceDirect
2022年9月15日 · The rapid advancement in artificial intelligence and machine learning techniques, availability of large-scale data, and increased computational capabi…