-
1
-
-
84874454668
-
Multiple linear regression
-
In: I.B. Weiner, editor, John Wiley & Sons, Hoboken, NJ
-
Aiken, L.S., S.G. West, and S.C. Pitts. 2003. Multiple linear regression. In: I.B. Weiner, editor, Handbook of Psychology. Vol. 4. John Wiley & Sons, Hoboken, NJ. p. 481-507.
-
(2003)
Handbook of Psychology
, vol.4
, pp. 481-507
-
-
Aiken, L.S.1
West, S.G.2
Pitts, S.C.3
-
2
-
-
57849083889
-
Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach
-
doi:10.1016/j.eja.2008.07.005
-
Alvarez, R. 2009. Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach. Eur. J. Agron. 30:70-77. doi:10.1016/j.eja.2008.07.005
-
(2009)
Eur. J. Agron
, vol.30
, pp. 70-77
-
-
Alvarez, R.1
-
3
-
-
0030935250
-
Development of a neural network for soybean rust epidemics
-
Batchelor, W., X. Yang, and A. Tschanz. 1997. Development of a neural network for soybean rust epidemics. Trans. ASAE 40:247-254.
-
(1997)
Trans. ASAE
, vol.40
, pp. 247-254
-
-
Batchelor, W.1
Yang, X.2
Tschanz, A.3
-
4
-
-
3342958330
-
Modeling vegetative development of berseem clover (Trifolium alexandrinum L.) as a function of growing degree days using linear regression and neural networks
-
doi:10.4141/P02-143
-
Clapham, W., and J. Fedders. 2004. Modeling vegetative development of berseem clover (Trifolium alexandrinum L.) as a function of growing degree days using linear regression and neural networks. Can. J. Plant Sci. 84:511-517. doi:10.4141/P02-143
-
(2004)
Can. J. Plant Sci
, vol.84
, pp. 511-517
-
-
Clapham, W.1
Fedders, J.2
-
5
-
-
0031172117
-
Comparing neural networks and regression models for ozone forecasting
-
doi:10.1080/ 10473289.1997.10463925
-
Comrie, A.C. 1997. Comparing neural networks and regression models for ozone forecasting. J. Air Waste Manage. Assoc. 47:653-663. doi:10.1080/ 10473289.1997.10463925
-
(1997)
J. Air Waste Manage. Assoc
, vol.47
, pp. 653-663
-
-
Comrie, A.C.1
-
6
-
-
14644401332
-
Application of artificial neural networks to complex groundwater management problems
-
doi:10.1023/B:NARR.0000007808.11860.7e
-
Coppola, E., Jr., M. Poulton, E. Charles, J. Dustman, and F. Szidarovszky. 2003. Application of artificial neural networks to complex groundwater management problems. Nat. Resour. Res. 12:303-320. doi:10.1023/B:NARR.0000007808.11860.7e
-
(2003)
Nat. Resour. Res
, vol.12
, pp. 303-320
-
-
Coppola Jr., E.1
Poulton, M.2
Charles, E.3
Dustman, J.4
Szidarovszky, F.5
-
7
-
-
0028162871
-
Development of a neural network model to predict daily solar radiation
-
doi:10.1016/0168-1923(94)90103-1
-
Elizondo, D., G. Hoogenboom, and R. McClendon. 1994. Development of a neural network model to predict daily solar radiation. Agric. For. Meteorol. 71:115-132. doi:10.1016/0168-1923(94)90103-1
-
(1994)
Agric. For. Meteorol
, vol.71
, pp. 115-132
-
-
Elizondo, D.1
Hoogenboom, G.2
McClendon, R.3
-
8
-
-
84866451831
-
-
Environment Canada, Environ. Can., Ottawa, ON, accessed 20 Sept. 2011
-
Environment Canada. 2010. Climate trends and variations bulletin-Autumn 2010. Environ. Can., Ottawa, ON. http://www.ec.gc.ca/adsc-cmda/default.asp?lang=en&n=A49944AE-1#a2 (accessed 20 Sept. 2011).
-
(2010)
Climate Trends and Variations Bulletin-Autumn 2010
-
-
-
9
-
-
0002774946
-
Influence of the harvesting date of carrots on quality and quality preservation
-
Fritz, D., and J. Weichmann. 1979. Influence of the harvesting date of carrots on quality and quality preservation. Acta Hort. 93:91-100.
-
(1979)
Acta Hort
, vol.93
, pp. 91-100
-
-
Fritz, D.1
Weichmann, J.2
-
10
-
-
0000501647
-
An empirical mathematical model to describe plant root systems
-
doi:10.2307/2402227
-
Gerwitz, A., and E. Page. 1974. An empirical mathematical model to describe plant root systems. J. Appl. Ecol. 11:773-781. doi:10.2307/2402227
-
(1974)
J. Appl. Ecol
, vol.11
, pp. 773-781
-
-
Gerwitz, A.1
Page, E.2
-
11
-
-
0027802527
-
Analyses of growing degree-days for agriculture in Atlantic Canada
-
doi:10.3354/cr003169
-
Gordon, R., and A. Bootsma. 1993. Analyses of growing degree-days for agriculture in Atlantic Canada. Clim. Res. 3:169-176. doi:10.3354/cr003169
-
(1993)
Clim. Res
, vol.3
, pp. 169-176
-
-
Gordon, R.1
Bootsma, A.2
-
12
-
-
0033978825
-
A comparison of two approaches for modelling cassava (Manihot esculenta Crantz.) crop growth
-
doi:10.1006/anbo.1999.0999
-
Gray, V. 2000. A comparison of two approaches for modelling cassava (Manihot esculenta Crantz.) crop growth. Ann. Bot. 85:77-90. doi:10.1006/anbo.1999.0999
-
(2000)
Ann. Bot
, vol.85
, pp. 77-90
-
-
Gray, V.1
-
13
-
-
33947601468
-
Relating crop yield to topographic attributes using spatial analysis neural networks and regression
-
doi:10.1016/j.geoderma.2006.12.004
-
Green, T.R., J.D. Salas, A. Martinez, and R.H. Erskine. 2007. Relating crop yield to topographic attributes using spatial analysis neural networks and regression. Geoderma 139:23-37. doi:10.1016/j.geoderma.2006.12.004
-
(2007)
Geoderma
, vol.139
, pp. 23-37
-
-
Green, T.R.1
Salas, J.D.2
Martinez, A.3
Erskine, R.H.4
-
15
-
-
0024137490
-
Increased rates of convergence through learning rate adaptation
-
doi:10.1016/0893-6080(88)90003-2
-
Jacobs, R.A. 1988. Increased rates of convergence through learning rate adaptation. Neural Netw. 1:295-307. doi:10.1016/0893-6080(88)90003-2
-
(1988)
Neural Netw
, vol.1
, pp. 295-307
-
-
Jacobs, R.A.1
-
16
-
-
19044373009
-
Artificial neural networks for corn and soybean yield prediction
-
doi:10.1016/j. agsy.2004.07.009
-
Kaul, M., R.L. Hill, and C. Walthall. 2005. Artificial neural networks for corn and soybean yield prediction. Agric. Syst. 85:1-18. doi:10.1016/j. agsy.2004.07.009
-
(2005)
Agric. Syst
, vol.85
, pp. 1-18
-
-
Kaul, M.1
Hill, R.L.2
Walthall, C.3
-
17
-
-
80052455488
-
Control of dissolved oxygen in northern temperate lakes over scales ranging from minutes to days
-
doi:10.3354/ab00249
-
Langman, O., P. Hanson, S. Carpenter, and Y. Hu. 2010. Control of dissolved oxygen in northern temperate lakes over scales ranging from minutes to days. Aquat. Biol. 9:193-202. doi:10.3354/ab00249
-
(2010)
Aquat. Biol
, vol.9
, pp. 193-202
-
-
Langman, O.1
Hanson, P.2
Carpenter, S.3
Hu, Y.4
-
18
-
-
0026821995
-
Short-term load forecasting using an artificial neural network
-
Lee, K., Y. Cha, and J. Park. 1992. Short-term load forecasting using an artificial neural network. IEEE Trans. Power Syst. 7:124-132.
-
(1992)
IEEE Trans. Power Syst
, vol.7
, pp. 124-132
-
-
Lee, K.1
Cha, Y.2
Park, J.3
-
19
-
-
62249130077
-
Simulation of artificial neural network model for trunk sap flow of Pyrus pyrifolia and its comparison with multiple-linear regression
-
doi:10.1016/j. agwat.2009.01.003
-
Liu, X., S. Kang, and F. Li. 2009. Simulation of artificial neural network model for trunk sap flow of Pyrus pyrifolia and its comparison with multiple-linear regression. Agric. Water Manage. 96:939-945. doi:10.1016/j. agwat.2009.01.003
-
(2009)
Agric. Water Manage
, vol.96
, pp. 939-945
-
-
Liu, X.1
Kang, S.2
Li, F.3
-
20
-
-
67650538142
-
Response surface optimization of an artificial neural network for predicting the size of re-assembled casein micelles
-
doi:10.1016/j.compag.2009.06.005
-
Madadlou, A., Z. Emam-Djomeh, M.E. Mousavi, M. Ehsani, M. Javanmard, and D. Sheehan. 2009. Response surface optimization of an artificial neural network for predicting the size of re-assembled casein micelles. Comput. Electron. Agric. 68:216-221. doi:10.1016/j.compag.2009.06.005
-
(2009)
Comput. Electron. Agric
, vol.68
, pp. 216-221
-
-
Madadlou, A.1
Emam-Djomeh, Z.2
Mousavi, M.E.3
Ehsani, M.4
Javanmard, M.5
Sheehan, D.6
-
21
-
-
8844276108
-
Testing the generalization of artificial neural networks with cross-validation and independent-validation in modeling rice tillering dynamics
-
doi:10.1016/j.ecolmodel.2004.06.035
-
Mi, X., Y. Zou, W. Wei, and K. Ma. 2005. Testing the generalization of artificial neural networks with cross-validation and independent-validation in modeling rice tillering dynamics. Ecol. Modell. 181:493-508. doi:10.1016/j.ecolmodel.2004.06.035
-
(2005)
Ecol. Modell
, vol.181
, pp. 493-508
-
-
Mi, X.1
Zou, Y.2
Wei, W.3
Ma, K.4
-
23
-
-
84893478675
-
Four assumptions of multiple regression that researchers should always test
-
Osborne, J., and E. Waters. 2002. Four assumptions of multiple regression that researchers should always test. Pract. Assess. Res. Eval. 8:1-9.
-
(2002)
Pract. Assess. Res. Eval
, vol.8
, pp. 1-9
-
-
Osborne, J.1
Waters, E.2
-
24
-
-
62349127133
-
Canopy volume and root length infuence greenshoulder and internal greening in carrot
-
doi:10.1080/19315260802560532
-
Palanisamy, R., R.R. Lada, S.K. Asiedu, C.D. Caldwell, and A. Adams. 2009. Canopy volume and root length infuence greenshoulder and internal greening in carrot. Int. J. Veg. Sci. 15:116-132. doi:10.1080/19315260802560532
-
(2009)
Int. J. Veg. Sci
, vol.15
, pp. 116-132
-
-
Palanisamy, R.1
Lada, R.R.2
Asiedu, S.K.3
Caldwell, C.D.4
Adams, A.5
-
25
-
-
15344350446
-
Direct adaptive controller for nonafne nonlinear systems using self-structuring neural networks
-
Park, J.H., S.H. Huh, S.H. Kim, S.J. Seo, and G.T. Park. 2005. Direct adaptive controller for nonafne nonlinear systems using self-structuring neural networks. IEEE Trans. Neural Netw. 16:414-422.
-
(2005)
IEEE Trans. Neural Netw
, vol.16
, pp. 414-422
-
-
Park, J.H.1
Huh, S.H.2
Kim, S.H.3
Seo, S.J.4
Park, G.T.5
-
26
-
-
79952506657
-
Overfit prevention in adaptive weighted distance nearest neighbor
-
doi:10.1016/j.procs.2011.01.0 01
-
Parvinnia, E., M.R. Moosavi, M.Z. Jahromi, and K. Ziarati. 2011. Overfit prevention in adaptive weighted distance nearest neighbor. Procedia Comput. Sci. 3:1256-1261. doi:10.1016/j.procs.2011.01.0 01
-
(2011)
Procedia Comput. Sci
, vol.3
, pp. 1256-1261
-
-
Parvinnia, E.1
Moosavi, M.R.2
Jahromi, M.Z.3
Ziarati, K.4
-
27
-
-
32044468545
-
Seeding rate and seed spacing modulate root yield and recovery of slicer and dicer carrots differently
-
doi:10.1016/j.scienta.2005.10.002
-
Rajasekaran, L.R., T. Astatkie, and C. Caldwell. 2006. Seeding rate and seed spacing modulate root yield and recovery of slicer and dicer carrots differently. Sci. Hortic. 107:319-324. doi:10.1016/j.scienta.2005.10.002
-
(2006)
Sci. Hortic
, vol.107
, pp. 319-324
-
-
Rajasekaran, L.R.1
Astatkie, T.2
Caldwell, C.3
-
28
-
-
0040911848
-
Further studies on the effects of plant density, spatial arrangement and time of harvest on yield and root size in carrots
-
doi:10.1017/S0021859600029087
-
Salter, P., I. Currah, and J.R. Fellows. 1980. Further studies on the effects of plant density, spatial arrangement and time of harvest on yield and root size in carrots. J. Agric. Sci. 94:465-478. doi:10.1017/S0021859600029087
-
(1980)
J. Agric. Sci
, vol.94
, pp. 465-478
-
-
Salter, P.1
Currah, I.2
Fellows, J.R.3
-
29
-
-
33846673366
-
Verification and validation of simulation models
-
In: M.E. Kuhl et a l., editors, Orlando, FL. 4-7 Dec. 2005. IEEE, Piscataway, NJ
-
Sargent, R.G. 2005. Verification and validation of simulation models. In: M.E. Kuhl et a l., editors, Proceedings of the 37th Winter Simulation Conference, Orlando, FL. 4-7 Dec. 2005. IEEE, Piscataway, NJ. p. 130-143.
-
(2005)
Proceedings of the 37th Winter Simulation Conference
, pp. 130-143
-
-
Sargent, R.G.1
-
30
-
-
0031212622
-
The use of neural networks in agroecological modelling
-
doi:10.1016/ S0168-1699(9 7)0 0 021-5
-
Schultz, A., and R. Wieland. 1997. The use of neural networks in agroecological modelling. Comput. Electron. Agric. 18:73-90. doi:10.1016/ S0168-1699(9 7)0 0 021-5
-
(1997)
Comput. Electron. Agric
, vol.18
, pp. 73-90
-
-
Schultz, A.1
Wieland, R.2
-
31
-
-
0034306915
-
Neural networks in agroecological modelling: Stylish application or helpful tool?
-
doi:10.1016/S0168-1699(00)00137-X
-
Schultz, A., R. Wieland, and G. Lutze. 2000. Neural networks in agroecological modelling: Stylish application or helpful tool? Comput. Electron. Agric. 29:73-97. doi:10.1016/S0168-1699(00)00137-X
-
(2000)
Comput. Electron. Agric
, vol.29
, pp. 73-97
-
-
Schultz, A.1
Wieland, R.2
Lutze, G.3
-
32
-
-
85085075016
-
Opening the neural network black box: An algorithm for extracting rules from function approximating artificial neural networks
-
Brisbane, Australia. 10-13 Dec. 2000. Assoc. Inf. Syst., Atlanta, GA
-
Setiono, R., W. K. Leow, and J.Y. Tong. 2000. Opening the neural network black box: An algorithm for extracting rules from function approximating artificial neural networks. In: Proceedings of the 21st International Conference on Information Systems, Brisbane, Australia. 10-13 Dec. 2000. Assoc. Inf. Syst., Atlanta, GA. p. 176-186.
-
(2000)
Proceedings of the 21st International Conference On Information Systems
, pp. 176-186
-
-
Setiono, R.1
Leow, W.K.2
Tong, J.Y.3
-
33
-
-
33749664815
-
Comment on "Artificial neural network based modeling of heated catalytic converter performance" by M. Ali Akcayol and Can Cinar [Applied Termal Engineering 25 (2005) 2341]
-
Sha, W. 2007. Comment on "Artificial neural network based modeling of heated catalytic converter performance" by M. Ali Akcayol and Can Cinar [Applied Termal Engineering 25 (2005) 2341]. Appl. Term. Eng. 27:688-689.
-
(2007)
Appl. Term. Eng
, vol.27
, pp. 688-689
-
-
Sha, W.1
-
34
-
-
0033233944
-
A glossary of basic neural network terminology for regression problems
-
doi:10.1007/s005210050034
-
Stegemann, J., and N. Buenfeld. 1999. A glossary of basic neural network terminology for regression problems. Neural Comput. Appl. 8:290-296. doi:10.1007/s005210050034
-
(1999)
Neural Comput. Appl
, vol.8
, pp. 290-296
-
-
Stegemann, J.1
Buenfeld, N.2
-
36
-
-
0142106521
-
A neural network approach for thermal/pressure food processing
-
doi:10.1016/ S026 0 -8774(03)00174 -2
-
Torrecilla, J., L. Otero, and P. Sanz. 2004. A neural network approach for thermal/pressure food processing. J. Food Eng. 62:89-95. doi:10.1016/ S026 0 -8774(03)00174 -2
-
(2004)
J. Food Eng
, vol.62
, pp. 89-95
-
-
Torrecilla, J.1
Otero, L.2
Sanz, P.3
-
37
-
-
79952953200
-
Using a scanner-based minirhizotron system to characterize sweet potato adventitious root development during the initial storage root bulking stage
-
Villordon, A., D. LaBonte, and J. Solis. 2011. Using a scanner-based minirhizotron system to characterize sweet potato adventitious root development during the initial storage root bulking stage. HortScience 46:513-517.
-
(2011)
HortScience
, vol.46
, pp. 513-517
-
-
Villordon, A.1
Labonte, D.2
Solis, J.3
-
38
-
-
0001069312
-
Statistics for the evaluation and comparison of models
-
doi:10.1029/JC090iC05p08995
-
Willmott, C.J., S.G. Ackleson, R.E. Davis, J.J. Feddema, K.M. Klink, D.R. Legates, et al. 1985. Statistics for the evaluation and comparison of models. J. Geophys. Res. 90:8995-9005. doi:10.1029/JC090iC05p08995
-
(1985)
J. Geophys. Res
, vol.90
, pp. 8995-9005
-
-
Willmott, C.J.1
Ackleson, S.G.2
Davis, R.E.3
Feddema, J.J.4
Klink, K.M.5
Legates, D.R.6
-
39
-
-
0031239608
-
An artificial neural network model for simulating pesticide concentrations in soil
-
Yang, C., S. Prasher, S. Sreekanth, N. Patni, and L. Masse. 1997. An artificial neural network model for simulating pesticide concentrations in soil. Trans. ASAE 40:1285-1294.
-
(1997)
Trans. ASAE
, vol.40
, pp. 1285-1294
-
-
Yang, C.1
Prasher, S.2
Sreekanth, S.3
Patni, N.4
Masse, L.5
|