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>