Pork farm odour modelling using multiple-component multiple-factor analysis and neural networks

Applied Soft Computing Journal

Volumn 6, Issue 1, 2005, Pages 53-61

  Janes, Kevin R ^a   Yang, Simon X ^a   Hacker, Roger R ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Multiple component multiple factor analysis; Neural networks; Odour emissions; Odour modelling; Pork farms

Indexed keywords

MATHEMATICAL MODELS; MEATS; ODORS; RURAL AREAS; THERMAL EFFECTS;

MULTI-COMPONENT MULTI-FACTOR ANALYSIS; ODOUR EMISSIONS; ODOUR MODELING; PORK FARMS;

NEURAL NETWORKS;

EID: 24944540209     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2004.10.006     Document Type: Article

References (21)

1. J. Banks, J. Carson, B. Nelson, and D. Nicol Discrete Event System Simulation 2001 Prentice Hall New Jersey
2. C. Barth, D. Hill, and L. Polkowski Correlating odour intensity index and odorous components in stored manure Trans. ASAE 17 4 1974 742 747
3. R.K. Brouwer, and W. Pedryca Training a feed-forward network with incomplete data due to missing input variables Appl. Soft Comput. 3 1 2003 23 36
4. H. Guo, L. Jacobson, D. Schmidt, and R. Nicolai Correlation of odour threshold and hydrogen sulphide and ammonia concentrations for animal feedlots Proceedings of the 2000 ASAE Annual International Meeting 2000
5. L. Frosini, and G. Petrecca Neural networks for load torque monitoring of an induction motor Appl. Soft Comput. 1 3 2001 215 223
6. M. Ishikawa Structural learning with forgetting Neural Netw. 9 3 1996 509 521
7. K. Janes, S. Yang, and R. Hacker Single component modelling of pork farm odour with statistical methods and neural networks Biosyst. Eng. 88 3 2004 271 279
8. J. Jang, C. Sun, E. Mizutani, and Neuro-Fuzzy Soft Computing: A Computational Approach to Learning and Machine Intelligence 1997 Prentice Hall New Jersey
9. R. Johnson Milller and Freund's Probability and Statistics for Engineers 1994 Prentice Hall New York
10. N.B. Karayiannis, and A.N. Venetsanopoulos Artificial Neural Networks 1993 Kluwer Academic Publishers Boston
11. Q. Liu, D. Bundy, and S. Hoff Utilizing ammonia concentrations as an odour threshold indicator for swine facilities Proceedings from the Fourth International Livestock Environment Symposium 1993
12. F. Lunn, and J. Van De Vyver Sampling and analysis of air in pig houses Agric. Environ. 3 1977 159 169
13. M. Papadrakakis, and N.D. Lagaros Soft computing methodologies for structural optimization Appl. Soft Comput. 3 3 2003 283 300
14. S. Schiffman, E.A. Sattely-Miller, M.S. Suggs, and B.G. Graham The effect of environmental odour emanating from commercial swine operations on the mood of nearby residents Brain Res. Bull. 37 4 1995 369 375
15. S. Schiffman, J. Bennett, and J. Raymer Quantification of odours and odorants from swine operations in North Carolina Agric. Forest Meteorol. 108 2001 213 240
16. A. Williams Indicators of piggery slurry odour offensiveness Agric. Wastes 10 1984 15 36
17. S.X. Yang A neural network model for dose response of food borne pathogens Appl. Soft Comput. 3 2 2003 85 96
18. J. Zahn, A. DiSpirito, Y. Do, B. Brooks, D. Russel, and E. Cooper Correlation of human odour response magnitudes to air concentrations of malodorous volatile organic compounds associated with swine manure odour Odours and VOC Emissions 2000 Conference 2000
19. J. Zahn, A. DiSpirito, Y. Do, B. Brooks, E. Cooper, and J. Hatfield Correlation of human olfactory responses to airborne concentrations of malodorous volatile organic compounds emitted from swine effluent J. Environ. Qual. 30 2001 624 634
20. Q. Zhang, S.X. Yang, G.S. Mittal, and S.J. Yi Prediction of performance indices and optimal parameters of rough rice drying with neural networks Biosyst. Eng. 83 3 2002 281 290
21. Q. Zhang, J. Feddes, I. Edeogu, M. Nyachoti, J. House, D. Small, C. Liu, D. Mann, and G. Clark Odour Production, Evaluation and Control 2002 Manitoba Livestock Manure Management Initiative Winnipeg