... Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City. Other Titles: Prediction Model of Average Temperature ...
Oct 17, 2022 ¡¤ CNN-RNN models have been employed widely because CNN simplifies the feature space, and the long-term dependency is modeled using LSTM or a GRU [ ...
Methods: Artificial neural network (ANN) and deep learning models such as gate recurrent unit (GRU), long short-term memory (LSTM), convolutional neural network ...
Missing: Wonju | Show results with:Wonju
Prediction Model of Average Temperature Based on Characteristic of Urban-space Using LSTM and GRU: the Case of Wonju City ¡¤ Wooseop Lee,Hyungkyoo Kim. Gugto ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City - Prediction of Average ...
This study used daily data for five years in predicting PM 2.5 concentrations in eight Korean cities through deep learning models.
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City. Àú³ÎÁ¤º¸. ±¹Å俬±¸¿ø ¡¤ ±¹Å俬±¸ Çмú ...
However, compared with. LSTM, GRU-based BiLSTM does not always achieve better performance; hence, based on the requirements, an appropri- ate model selection ...
A BLSTM-GRU based model which outperforms the existing machine and deep learning models for rainfall prediction over Simtokha a region in the capital of ...
Missing: Urban- Wonju
ConvLSTM is a type of combination model: combining Recurrent Neural Network(RNN) and Convolutional Neural Network(CNN). This study showed that ConvLSTM with ...
Missing: Average Temperature Characteristic GRU: Wonju