Prediction of dissolved oxygen in marine ranch by Bayes algorithm based on linear sliding window selection

Abstract

Accurate prediction of water quality in marine ranch can help to avoid the problem of marine mortality caused by changes in water quality and can help to improve the productivity of marine ranch. In order to make effective predictions of water quality parameters, this paper proposes a Bayes-based prediction algorithm based on linear sliding window selection method, and use the model to predict dissolved oxygen data. Comparative experiments with similar algorithms illustrate that the prediction accuracy of this model has improved considerably.