بدائل البحث:
significantly improve » significantly improved (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
improve decrease » improve disease (توسيع البحث), improved urease (توسيع البحث), improves disease (توسيع البحث)
significantly improve » significantly improved (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
improve decrease » improve disease (توسيع البحث), improved urease (توسيع البحث), improves disease (توسيع البحث)
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821
Figure of ablation experiment.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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822
Flowchart of the STL-PCA-BWO-BiLSTM model.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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823
Parameter optimization results of BiLSTM.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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824
Descriptive statistical analysis of data.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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825
The MAE value of the model under raw data.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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826
Three error values under raw data.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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827
Decomposition of time scries plot.
منشور في 2025"…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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828
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829
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830
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831
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832
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833
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834
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835
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836
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837
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838
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839
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840