文章摘要
Phantom study on water quality dynamic in Litopenaeus vannameiis's ponds based on wavelet analysis
  
DOI:
Author NameAffiliation
刘明,李由明,王平,李晓梅 1.琼州学院电子信息工程学院海南三亚5720222.琼州学院生物科学与技术学院海南三亚5720223.海南南疆生物技术有限公司海南昌江572700 
Hits: 1617
Download times: 542
Abstract:
      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.
View Full Text   View/Add Comment  Download reader