Water quality predication method based on grey theory and support vector machine

The invention discloses a water quality predication method based on a grey theory and a support vector machine and belongs to the technical field of water quality predication methods. The method comprises the following steps: (1) carrying out wavelet decomposition on an acquired data set; (2) carrying out translation on detail sub-sequences decomposed by the step (1) and carrying out phase-space reconstruction; (3) establishing a predication model of each detail sub-sequence according to each detail sub-sequence subjected to the phase-space reconstruction in the step (2); (4) establishing a scale sub-sequence predication model according to scale sub-sequences decomposed by the step (1); (5) inputting data and predicating, namely carrying out reverse translation on a predicated value of each obtained detail sub-sequence, and reconstructing the predicated values of the scale sub-sequence predication models and the detail sub-sequence predication models to obtain a final predicated result. Compared with a tradit