The novel model which combines EMD and BPNN algorithm is presented to predict water temperature in intensive aquaculture..
Using EMD technology adaptively decomposed the original water temperature data into a finite set of IMFs and a residue.
EMD-BPNN has higher prediction accuracy and better generalization performance than standard BPNN and standard SVR.
EMD-BPNN can be used as a suitable and effective modeling tool for predicting water temperature in intensive aquaculture.