%0 DATA
%A Chongli, Di
%A Xiaohua, Yang
%A Xiaochao, Wang
%D 2014
%T The structure of the proposed EMD-EEMD-RBFNN-LNN model.
%U https://plos.figshare.com/articles/figure/_The_structure_of_the_proposed_EMD_EEMD_RBFNN_LNN_model_/1134704
%R 10.1371/journal.pone.0104663.g003
%2 https://ndownloader.figshare.com/files/1630210
%K Computational biology
%K computational neuroscience
%K Artificial neural networks
%K neuroscience
%K cognitive science
%K artificial intelligence
%K hydrology
%K surface water
%K Natural resources
%K water resources
%K mathematics
%K Statistics (mathematics)
%K Statistical methods
%K forecasting
%K Time series analysis
%K Mathematical and statistical techniques
%K Mathematical functions
%K Wavelet transforms
%K Simulation and modeling
%K mathematical modeling
%K emd-eemd-rbfnn-lnn
%X 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.