Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system

LWT

Volumn 45, Issue 2, 2012, Pages 233-240

  Khot, Lav R ^a,c   Panigrahi, Suranjan ^a   Doetkott, Curt ^b   Chang, Young ^a,d   Glower, Jacob ^a   Amamcharla, Jayendra ^a,e   Logue, Catherine ^b   Sherwood, Julie ^b  

^a North Dakota State University   (United States)

^b NORTH DAKOTA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

^d DALHOUSIE UNIVERSITY   (Canada)

^e SOUTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

Food safety; Multivariate normal data generation; Radial basis function network; Wavelet packet transform

Indexed keywords

BEEF; CONTAMINATION; DISCRIMINANT ANALYSIS; ELECTRONIC NOSE; FOOD SAFETY; FUNCTION EVALUATION; GENETIC ALGORITHMS; PATTERN RECOGNITION; SALMONELLA; WAVELET ANALYSIS; WAVELET TRANSFORMS;

BIOLOGICAL STUDIES; CLASSIFICATION ACCURACY; DATA GENERATION; INTEGRATED SENSOR SYSTEM; MULTIVARIATE NORMAL; QUADRATIC DISCRIMINANT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS (RBFN); WAVELET PACKET TRANSFORMS;

RADIAL BASIS FUNCTION NETWORKS;

SALMONELLA;

EID: 80054837466     PISSN: 00236438     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.lwt.2011.06.011     Document Type: Article

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