On the usage of acoustic properties combined with an artificial neural network - A new approach of determining presence of dairy fouling

Journal of Food Engineering

Volumn 103, Issue 4, 2011, Pages 449-456

  Wallhäußer, Eva ^a   Hussein, Walid B ^a   Hussein, Mohamed A ^a   Hinrichs, Jörg ^b   Becker, Thomas M ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF HOHENHEIM   (Germany)

Author keywords

Acoustic parameters; ANN; Dairy fouling; Pattern recognition; Ultrasound

Indexed keywords

ACOUSTIC PARAMETERS; ANN; ARTIFICIAL NEURAL NETWORK; CHARACTERISTIC ACOUSTIC IMPEDANCE; ERROR PRONENESS; HIDDEN LAYERS; LOGARITHMIC DECREMENT; MULTI LAYER PERCEPTRON; NEW APPROACHES; PATTERN RECOGNITION METHOD; PRESENCE/ABSENCE; SINGLE PARAMETER; TAP WATER; ULTRASONIC PARAMETERS; ULTRASOUND;

ACOUSTIC IMPEDANCE; CLEANING; ELASTIC WAVES; ERROR DETECTION; FOOD PROCESSING; FOULING; PATTERN RECOGNITION; STAINLESS STEEL; ULTRASONIC APPLICATIONS; ULTRASONICS;

NEURAL NETWORKS;

EID: 78651228974     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2010.11.015     Document Type: Article

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