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Artificial neural networks: fundamentals, computing, design, and application.
J Microbiol Methods. 2000 Dec 1;43(1):3-31. doi: 10.1016/s0167-7012(00)00201-3.
J Microbiol Methods. 2000.
PMID: 11084225
Review.
A probabilistic neural network approach for modeling and classification of bacterial growth/no-growth data.
Hajmeer M, Basheer I.
Hajmeer M, et al.
J Microbiol Methods. 2002 Oct;51(2):217-26. doi: 10.1016/s0167-7012(02)00080-5.
J Microbiol Methods. 2002.
PMID: 12133614
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Computational neural networks for predictive microbiology: I. Methodology.
Najjar YM, Basheer IA, Hajmeer MN.
Najjar YM, et al. Among authors: basheer ia.
Int J Food Microbiol. 1997 Jan;34(1):27-49. doi: 10.1016/s0168-1605(96)01168-3.
Int J Food Microbiol. 1997.
PMID: 9029254
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Survival curves of Listeria monocytogenes in chorizos modeled with artificial neural networks.
Hajmeer M, Basheer I, Cliver DO.
Hajmeer M, et al.
Food Microbiol. 2006 Sep;23(6):561-70. doi: 10.1016/j.fm.2005.09.011. Epub 2005 Nov 18.
Food Microbiol. 2006.
PMID: 16943052
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Computational neural networks for predictive microbiology. II. Application to microbial growth.
Hajmeer MN, Basheer IA, Najjar YM.
Hajmeer MN, et al. Among authors: basheer ia.
Int J Food Microbiol. 1997 Jan;34(1):51-66. doi: 10.1016/s0168-1605(96)01169-5.
Int J Food Microbiol. 1997.
PMID: 9029255
Item in Clipboard
A hybrid Bayesian-neural network approach for probabilistic modeling of bacterial growth/no-growth interface.
Hajmeer MN, Basheer IA.
Hajmeer MN, et al. Among authors: basheer ia.
Int J Food Microbiol. 2003 May 15;82(3):233-43. doi: 10.1016/s0168-1605(02)00308-2.
Int J Food Microbiol. 2003.
PMID: 12593926
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Modeling the survival of Salmonella spp. in chorizos.
Hajmeer M, Basheer I, Hew C, Cliver DO.
Hajmeer M, et al.
Int J Food Microbiol. 2006 Mar 1;107(1):59-67. doi: 10.1016/j.ijfoodmicro.2005.08.012. Epub 2005 Nov 21.
Int J Food Microbiol. 2006.
PMID: 16303199
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