Neural network with principal component analysis for poultry carcass classification

Journal of Food Process Engineering

Volumn 21, Issue 5, 1998, Pages 351-367

  Chen, Y R ^a,b   Nguyen, M ^a   Park, B ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFRARED SPECTROPHOTOMETERS; LIGHT REFLECTION; MATHEMATICAL MODELS; MEATS; NEURAL NETWORKS; SPECTRUM ANALYSIS; STATISTICAL METHODS;

PRINCIPAL COMPONENT ANALYSIS (PCA);

FOOD PROCESSING;

EID: 0032204268     PISSN: 01458876     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1745-4530.1998.tb00458.x     Document Type: Article

References (8)

1. CHEN, Y.R. and MASSIE, D.R. 1993. Visible/near-IR reflectance and interactance spectroscopy for detection of abnormal poultry carcasses. Trans, of the ASAE 36(3), 863-869.
2. CHEN, Y.R., PARK, B., HUFFMAN, R.W. and NGUYEN, M. 1998. Classification of on-line poultry carcasses with backpropagation neural networks. J. Food Process Engineering 21, 33-48.
3. CHEN, Y.R., PARK, B., NGUYEN, M. and HUFFMAN, R.W. 1996. Instrumental system for on-line inspection of poultry carcasses. SPIE. Laser, Optics, and Vision for Productivity in Manufacturing I. 2786-17, 121-131.
4. DEVAUX, M.F., BERTRAND, D., ROBERT, P. and QANNARI, M. 1988. Application of multidimensional analyses to the extraction of discriminant spectral patterns from NIR spectra. Applied Spectroscopy 42 (6), 1015-1019.
5. FRANCIS, F.J. and CLYDESDALE, F.M. 1975. Food Colorimetry: Theory and Applications. 475 pp. The AVI Publishing Company, Westport, CT.
6. HRUSCHKA, W.R. 1987. Data analysis: Wavelength selection methods. In Near Infrared Technology in the Agricultural and Food Industries (P. Williams and K. Norris, eds.) p. 35.
7. MALINOWSKI, E.R. and HOWERY, D.G. 1980. Factor Analysis in Chemistry, 251 pp., John Wiley & Sons.
8. NEURAL COMPUTING 1991. NeuralWorks Professional II/Plus and NeuralWorks Explorer, NeuralWare, Inc.