The results indicated that the CNN–LSTM/NARX hybrid model has the lowest NRMSE and the best IA, surpassing the state-of-the-art proposed hybrid deep-learning ...
The results indicated that the CNN-LSTM/NARX hybrid model has the lowest NRMSE and the best IA, surpassing the state-of-the-art proposed hybrid ...
Dec 9, 2024 · The results indicated that the CNN–LSTM/NARX hybrid model has the lowest NRMSE and the best IA, surpassing the state-of-the-art proposed hybrid ...
The proposed enhancement was evaluated by several metrics such as index of agreement (IA) and normalized root mean square error (NRMSE). The results indicated ...
Aug 4, 2024 · Our innovative approach integrates NARX, CNN, and LSTM models to enhance PM 2.5 prediction accuracy. The CNN-LSTM/NARX hybrid model outperforms ...
Dive into the research topics of 'Enhancing PM2.5 Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model'. Together they form a unique fingerprint.
A hybrid CNN-LSTM model is developed by combining the convolutional neural network (CNN) with the long short-term memory (L STM) neural network for ...
... Enhancing PM2.5 Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model. Sensors 2022, 22, 4418. https://doi.org/10.3390/s22124418. AMA Style. Moursi ...
Aug 6, 2024 · In this study, we combined the CNN and LSTM models to address the time series prediction problem and effectively improve the PM2.5 estimation ...
People also ask
What is CNN LSTM hybrid model?
What is hybrid CNN LSTM for traffic flow forecasting?
What is CNN LSTM for forecasting?
Dec 11, 2024 · The CNN-LSTM model achieves better prediction accuracy and generalizability compared with those of the CNN and LSTM models (R ² values of 0.85 ...