10.1371/journal.pone.0104663.g003
Chongli Di
Chongli
Di
Xiaohua Yang
Xiaohua
Yang
Xiaochao Wang
Xiaochao
Wang
The structure of the proposed EMD-EEMD-RBFNN-LNN model.
Public Library of Science
2014
Computational biology
computational neuroscience
Artificial neural networks
neuroscience
cognitive science
artificial intelligence
hydrology
surface water
Natural resources
water resources
mathematics
Statistics (mathematics)
Statistical methods
forecasting
Time series analysis
Mathematical and statistical techniques
Mathematical functions
Wavelet transforms
Simulation and modeling
mathematical modeling
emd-eemd-rbfnn-lnn
2014-08-11 02:43:24
Figure
https://plos.figshare.com/articles/figure/_The_structure_of_the_proposed_EMD_EEMD_RBFNN_LNN_model_/1134704
<p>The proposed model has four stages, i.e., denoising, decomposition, component prediction and ensemble. The methods used in the four stages are empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), radial basis function neural network (RBFNN) and linear neural network (LNN), respectively.</p>