Phantom study on water quality dynamic in Litopenaeus vannameiis's ponds based on wavelet analysis

Dynamics of water quality was predicted by ARMA Models and Neural Network Models in this paper. A ARMA Model for water quality of Litopenaeus vannameiis's ponds has been raised based on data from shrimps ponds，and the values of p and q of ARMA(p, q) were 4 and 2 respectively. Results of prediction indicated that accuracy of ARMA Model was high. Moreover, comparison of effectivity and accuracy between ARMA Model and Neural Network Models indicated that the former was better for prediction of water quality of shrimp ponds.