Use of SVM neural networks to prediction of the cooling water temperature in the PKN Orlen rafinery

作者：Malinowski Pawel^*; Sulowicz Maciej

来源：Przemysl Chemiczny, 2010, 89(9): 1236-1240.

Hydraulic and thermal models of an industrial cooling water supply system were developed by using the support-vector-machine neural networks to predict temps. of the cooling water in 96 points of the waterflow network. The network consisted of 1614 junctions, 9 tanks, 1188 pipelines, 26 pumps and 640 valves. A good agreement of the predicted and measured temps. was achieved.

• 出版日期2010-9