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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Wallhäußer, E.; Hussein, W. B.; Hussein, M. A.; Hinrichs, J.; Becker, T. 
Titel:
Detection of dairy fouling: Combining ultrasonic measurements and classification methods 
Abstract:
Fouling and cleaning in heat exchangers are severe and costly (up to 0.3% of gross national product) issues in dairy and food processing. Therefore, reducing cleaning time and cost is urgently needed. In this study, two classification methods [artificial neural network (ANN) and support vector machine (SVM)] for detecting protein and mineral fouling presence and absence based on ultrasonic measurements were presented and compared. ANN is based on a multilayer perceptron feed forward neural netwo...    »
 
Stichworte:
Artificial neural network (ANN) Classification method Dairy fouling Support vector machine (SVM) Ultrasound 
Zeitschriftentitel:
Engineering in Life Sciences 
Jahr:
2013 
Band / Volume:
13 
Heft / Issue:
Seitenangaben Beitrag:
292-301 
Print-ISSN:
1618-2863