A Decomposition-Ensemble Approach with Denoising Strategy for PM<sub>2.5</sub> Concentration Forecasting

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Models</td><td class="align_center">RMSE</td><td class="align_center">MAE</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">WAV-SVR</td><td class="align_center">7.13</td><td class="align_center">3.77</td></tr><tr><td class="align_left">WAV-BP</td><td class="align_center">6.83</td><td class="align_center">3.64</td></tr><tr><td class="align_left">WAV-ELM</td><td class="align_center">10.07</td><td class="align_center">6.36</td></tr><tr><td class="align_left">WAV-KLEM</td><td class="align_center">6.96</td><td class="align_center">3.58</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The forecasting results after wavelet denoising.</div>

Discrete Dynamics in Nature and Society

tab3

Table 3

Table 3: A Decomposition-Ensemble Approach with Denoising Strategy for PM<sub>2.5</sub> Concentration Forecasting 

Discrete Dynamics in Nature and Society

A Decomposition-Ensemble Approach with Denoising Strategy for PM2.5 Concentration Forecasting

Table 3

A Decomposition-Ensemble Approach with Denoising Strategy for PM_2.5 Concentration Forecasting