In this study, the average temperature rise-related variables are extracted through statistical analysis for Wonju City, where the average temperature increase ...
Aug 16, 2022 ¡¤ ArticlePDF Available. Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City.
3. Wooseop Lee, 2021, Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City, The Korea ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City. Article. Full-text available. Jun ...
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Oct 10, 2024 ¡¤ The LSTM model's learning is more accurate and reliable to predict repair and maintenance costs of apartment complex, compared to the RNN and ...
Jun 3, 2024 ¡¤ Specifically, LSTM is effective in capturing temporal dependencies based on previous traffic conditions, weather conditions, and other data, ...
This paper proposes two network structures for predicting thermocline time series data, the LSTM-GRU hybrid neural network model and the temporal ...
LSTM-CNN model was used to extract temporal and spatial feature information from data, As a result of the comparison with LSTM, CNN, CNN-LSTM, and LSTM-CNN, ...