10.1371/journal.pone.0104663.g003
Chongli Di
Xiaohua Yang
Xiaochao Wang
The structure of the proposed EMD-EEMD-RBFNN-LNN model.
2014
Public Library of Science
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
article
https://plos.figshare.com/articles/_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>