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 …
Enhancing streamflow forecasting using an LSTM hybrid model …
Consequently, LSTM attracts considerable attention and has been rigorously validated in hydrological forecasting. Chen et al. (2020) compared an artificial neural network (ANN) with …
LSTM-FKAN coupled with feature extraction technique for …
May 1, 2025 · The soil characteristic data is represented by root zone soil moisture, which is derived from raster data. The LSTM-FKAN coupled with feature extraction technique …
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…
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 sequential data with long-term …
Development of an intelligent CNN-LSTM-attention model for …
The combination of LSTM with locally extracted features from CNN allowed for precise characterization of the structural damage signal's evolution, while the Attention mechanism …
Transductive LSTM for time-series prediction: An application to …
May 1, 2020 · Long Short-Term Memory (LSTM) has shown significant performance on many real-world applications due to its ability to capture long-term dependencies. In this paper, we …
Comparing a long short-term memory (LSTM) neural network with …
Dec 1, 2023 · An LSTM consists of a memory cell, which is a neuron with a self-recurrent connection, and three nonlinear gates (i.e., forget, input and output gates) that control the …
Forecasting monthly gas field production based on the CNN-LSTM …
Dec 1, 2022 · The results show that the CNN-LSTM model can effectively predict gas field production. A detailed performance comparison was conducted between CNN-LSTM and …
Advanced predictive control for GRU and LSTM networks
Nov 1, 2022 · This article is concerned with Model Predictive Control (MPC) algorithms that use Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural netwo…