Runoff Intelligent Prediction Method Based on Broad-deep Fusion Time-frequency Analysis
Broad learning system(BLS)is introduced to tackle the existed disadvantage that LSTM-based runoff prediction model is easy to fall into local optimization.To reduce the influence of noise on the prediction results,the variational mode decomposition(VMD)is adopted to transform the one-dimensional time-domain runoff signal to the two-dimensional time-frequency plane.The runoff prediction model based on VMD-LSTM-BLS is proposed.The simulation results demonstrate that the prediction accuracy of the new model is more significantly improved compared with the baseline model and the existing LSTM-based runoff prediction model.
万方数据
维普
