【INFO-CNN-BILSTM回归预测】基于加权向量算法INFO优化卷积神经网络-双向长短期记忆网络CNN-BILSTM回归预测,INFO-CNN-BILSTM多输入单输出模型。优化参数为:学习率,隐含层节点,正则化参数。评价指标包括:R2、MAE、MSE、RMSE和MAPE等,代码质量极高,方便学习和替换数据。
The CatBoost Convolutional Neural Network-Bidirectional Long Short-Term Memory-Attention (CNN-BiLSTM-Attention) model was used to forecast WQI. The research results propose a new WRCC evaluation and water quality prediction model method. The results show that the average barrier levels for water ...
The CatBoost Convolutional Neural Network-Bidirectional Long Short-Term Memory-Attention (CNN-BiLSTM-Attention) model was used to forecast WQI. The research results propose a new WRCC evaluation and water quality prediction model method. The results show that the average barrier levels for water ...