-
2
-
-
0036469175
-
Predictive non-linear modeling of complex data by artificial neural networks
-
Almeida, J.S., 2002. Predictive non-linear modeling of complex data by artificial neural networks. Curr. Opin. Biotechnol. 13 (1), 72-76.
-
(2002)
Curr. Opin. Biotechnol.
, vol.13
, Issue.1
, pp. 72-76
-
-
Almeida, J.S.1
-
3
-
-
0034564603
-
Artificial neural networks: Fundamentals, computation, design and application
-
Basheer, I.A., Hajmeer, M.N., 2000. Artificial neural networks: fundamentals, computation, design and application. J. Microbiol. Methods 43, 3-31.
-
(2000)
J. Microbiol. Methods
, vol.43
, pp. 3-31
-
-
Basheer, I.A.1
Hajmeer, M.N.2
-
4
-
-
0343171028
-
Estimation of multivariate density
-
Cacoullos, T., 1966. Estimation of multivariate density. Ann. Inst. Stat. Math. 18 (2), 179-189.
-
(1966)
Ann. Inst. Stat. Math.
, vol.18
, Issue.2
, pp. 179-189
-
-
Cacoullos, T.1
-
5
-
-
0031733749
-
Application of artificial neural networks as a non-linear modular modeling technique to describe bacterial growth in chilled food products
-
Geeraerd, A.H., Herremans, C.H., Cenens, C., Van Impe, J.F., 1998. Application of artificial neural networks as a non-linear modular modeling technique to describe bacterial growth in chilled food products. Int. J. Food Microbiol. 44, 49-68.
-
(1998)
Int. J. Food Microbiol.
, vol.44
, pp. 49-68
-
-
Geeraerd, A.H.1
Herremans, C.H.2
Cenens, C.3
Van Impe, J.F.4
-
6
-
-
0030308809
-
The growth of Escherichia coli O157: h7 - A backpropagation neural network approach
-
Dagli, C.H., et al. (Ed.), ASME Press
-
Hajmeer, M.N., Basheer, I.A., Najjar, Y.M., 1996. The growth of Escherichia coli O157: h7 - a backpropagation neural network approach. In: Dagli, C.H., et al. (Ed.), Intelligent Engineering Systems Through Artificial Neural Networks Proceedings ANNIE'96, Vol. 6. ASME Press, pp. 635-640.
-
(1996)
Intelligent Engineering Systems Through Artificial Neural Networks Proceedings ANNIE'96
, vol.6
, pp. 635-640
-
-
Hajmeer, M.N.1
Basheer, I.A.2
Najjar, Y.M.3
-
7
-
-
0031031431
-
Computational neural networks for predictive microbiology: II. Application
-
Hajmeer, M.N., Basheer, I.A., Najjar, Y.M., 1997. Computational neural networks for predictive microbiology: II. Application. Int. J. Food Microbiol. 34, 51-66.
-
(1997)
Int. J. Food Microbiol.
, vol.34
, pp. 51-66
-
-
Hajmeer, M.N.1
Basheer, I.A.2
Najjar, Y.M.3
-
8
-
-
0032335423
-
A nonlinear response surface model based on artificial neural networks for growth of saccharomyces cerevisiae
-
Hajmeer, M.N., Basheer, I.A., Fung, D.Y.C., Marsden, J.L., 1998. A nonlinear response surface model based on artificial neural networks for growth of saccharomyces cerevisiae. J. Rapid Methods Automat. Microbiol. 6, 103-118.
-
(1998)
J. Rapid Methods Automat. Microbiol.
, vol.6
, pp. 103-118
-
-
Hajmeer, M.N.1
Basheer, I.A.2
Fung, D.Y.C.3
Marsden, J.L.4
-
9
-
-
0034555993
-
New approach for modeling generalized microbial growth curves using artificial neural networks
-
Hajmeer, M.N., Basheer, I.A, Marsden, J.L., Fung, D.Y.C., 2000. New approach for modeling generalized microbial growth curves using artificial neural networks. J. Rapid Methods Automat. Microbiol. 8 (4), 265-284.
-
(2000)
J. Rapid Methods Automat. Microbiol.
, vol.8
, Issue.4
, pp. 265-284
-
-
Hajmeer, M.N.1
Basheer, I.A.2
Marsden, J.L.3
Fung, D.Y.C.4
-
11
-
-
0035916964
-
Microbial growth modelling with artificial neural networks
-
Jeyamkondan, S., Jayas, D.S., Holley, R.A., 2001. Microbial growth modelling with artificial neural networks. Int. J. Food Microbiol. 64, 343-354.
-
(2001)
Int. J. Food Microbiol.
, vol.64
, pp. 343-354
-
-
Jeyamkondan, S.1
Jayas, D.S.2
Holley, R.A.3
-
12
-
-
0343750705
-
Probabilistic modeling of saccharomyces cerevisiae inhibition under the effects of water activity, ph, and potassium sorbate concentration
-
Lopez-Malo, A., Guerrero, S., Alzamora, S.M., 2000. Probabilistic modeling of saccharomyces cerevisiae inhibition under the effects of water activity, ph, and potassium sorbate concentration. J. Food Prot. 63 (1), 91-95.
-
(2000)
J. Food Prot.
, vol.63
, Issue.1
, pp. 91-95
-
-
Lopez-Malo, A.1
Guerrero, S.2
Alzamora, S.M.3
-
13
-
-
0034946875
-
Application of artificial neural networks for predicting the thermal inactivation of bacteria: A combined effect of temperature, pH, and water activity
-
Lou, W., Nakai, S., 2001. Application of artificial neural networks for predicting the thermal inactivation of bacteria: a combined effect of temperature, pH, and water activity. Food Res. Int. 34, 573-579.
-
(2001)
Food Res. Int.
, vol.34
, pp. 573-579
-
-
Lou, W.1
Nakai, S.2
-
15
-
-
0031026194
-
Computational neural networks for predictive microbiology: I. Methodology
-
Najjar, Y.M., Basheer, I.A., Hajmeer, M.N., 1997. Computational neural networks for predictive microbiology: I. methodology. Int. J. Food Microbiol. 34, 27-49.
-
(1997)
Int. J. Food Microbiol.
, vol.34
, pp. 27-49
-
-
Najjar, Y.M.1
Basheer, I.A.2
Hajmeer, M.N.3
-
16
-
-
0001473437
-
On estimation of a probability density function and mode
-
Parzen, E., 1962. On estimation of a probability density function and mode. Ann. Math. Star. 36, 1065-1076.
-
(1962)
Ann. Math. Star.
, vol.36
, pp. 1065-1076
-
-
Parzen, E.1
-
17
-
-
0012588595
-
-
Pezullo, J., 2001. http://members.aol.com/johnp71/logistic.html.
-
(2001)
-
-
Pezullo, J.1
-
18
-
-
0031834558
-
Modelling the growth (growth/no growth interface) of E. coli as function of temperature, pH, lactic acid concentration, and water activity
-
Presser, K.A., Ross, T., Ratkowsky, D.A., 1998. Modelling the growth (growth/no growth interface) of E. coli as function of temperature, pH, lactic acid concentration, and water activity. Appl. Environ. Microbiol. 64 (5), 1773-1779.
-
(1998)
Appl. Environ. Microbiol.
, vol.64
, Issue.5
, pp. 1773-1779
-
-
Presser, K.A.1
Ross, T.2
Ratkowsky, D.A.3
-
19
-
-
0034332821
-
Modelling the combined temperature and salt (NaCl) limits for growth of a pathogenic E. coli strain using nonlinear logistic regression
-
Salter, M.A., Ratkowsky, D.A., Ross, T., McMeekin, T.A., 2000. Modelling the combined temperature and salt (NaCl) limits for growth of a pathogenic E. coli strain using nonlinear logistic regression. Int. J. Food Microbiol. 61, 159-167.
-
(2000)
Int. J. Food Microbiol.
, vol.61
, pp. 159-167
-
-
Salter, M.A.1
Ratkowsky, D.A.2
Ross, T.3
McMeekin, T.A.4
-
20
-
-
0033997342
-
Comparison of simple neural network and nonlinear regression models for descriptive modeling of lactobacillus helveticus growth in pH-controlled batch cultures
-
Schepers, A.W., Thibault, J., Lacroix, C., 2000. Comparison of simple neural network and nonlinear regression models for descriptive modeling of lactobacillus helveticus growth in pH-controlled batch cultures. Enzyme Microbiol Technol. 26, 431-445.
-
(2000)
Enzyme Microbiol Technol.
, vol.26
, pp. 431-445
-
-
Schepers, A.W.1
Thibault, J.2
Lacroix, C.3
-
22
-
-
0025206332
-
Probabilistic neural networks
-
Specht, D.F., 1990. Probabilistic neural networks. Neural Networks 3, 109-118.
-
(1990)
Neural Networks
, vol.3
, pp. 109-118
-
-
Specht, D.F.1
-
23
-
-
0033759097
-
Growth limits of Listeria monocytogenes as a function of temperature, pH, NaCl, and lactic acid
-
Tienungoon, S., Ratkowsky, D.A., McMeekin, T.A., Ross, T., 2000. Growth limits of Listeria monocytogenes as a function of temperature, pH, NaCl, and lactic acid. Appl. Environ. Microbiol. 66 (11), 4979-4987.
-
(2000)
Appl. Environ. Microbiol.
, vol.66
, Issue.11
, pp. 4979-4987
-
-
Tienungoon, S.1
Ratkowsky, D.A.2
McMeekin, T.A.3
Ross, T.4
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