-
1
-
-
3142691280
-
Hourly temperature forecasting using abductive networks
-
Abdel-Aal R.E. Hourly temperature forecasting using abductive networks. Eng. Appl. Artif. Intell. 2004, 17(5):543-556.
-
(2004)
Eng. Appl. Artif. Intell.
, vol.17
, Issue.5
, pp. 543-556
-
-
Abdel-Aal, R.E.1
-
2
-
-
85015511718
-
Effect of architectural design of greenhouse on solar radiation interception and crops growth conditions
-
Ali-Nezhad F.M., Eskandari H. Effect of architectural design of greenhouse on solar radiation interception and crops growth conditions. Int. J. Agric. Crop Sci. 2012, 4(3):122-127.
-
(2012)
Int. J. Agric. Crop Sci.
, vol.4
, Issue.3
, pp. 122-127
-
-
Ali-Nezhad, F.M.1
Eskandari, H.2
-
3
-
-
54049090732
-
Estimation of monthly solar radiation from measured air temperature extremes
-
Bandyopadhyay A., Bhadra A., Raghuwanshi N.S., Singh R. Estimation of monthly solar radiation from measured air temperature extremes. Agric. For. Meteorol. 2008, 148(11):1707-1718.
-
(2008)
Agric. For. Meteorol.
, vol.148
, Issue.11
, pp. 1707-1718
-
-
Bandyopadhyay, A.1
Bhadra, A.2
Raghuwanshi, N.S.3
Singh, R.4
-
4
-
-
75649096042
-
Prediction of long-term monthly temperature and rainfall in Turkey
-
Bilgili M., Şahin Ve.B. Prediction of long-term monthly temperature and rainfall in Turkey. Energy Sources 2010, 32(1):60-71.
-
(2010)
Energy Sources
, vol.32
, Issue.1
, pp. 60-71
-
-
Bilgili, M.1
Şahin, V.2
-
5
-
-
0034223894
-
Feedforward networks in financial predictions: the future that modifies the present
-
Budcema M., Sacco P.L. Feedforward networks in financial predictions: the future that modifies the present. Expert Syst. 2000, 17(3):149-170.
-
(2000)
Expert Syst.
, vol.17
, Issue.3
, pp. 149-170
-
-
Budcema, M.1
Sacco, P.L.2
-
6
-
-
40949144519
-
Neuro-fuzzy dynamic model with Kalman filter to forecast irradiance and temperature for solar energy systems
-
Chaabene M., Ammar M.B. Neuro-fuzzy dynamic model with Kalman filter to forecast irradiance and temperature for solar energy systems. Renew. Energy 2008, 33:1435-1443.
-
(2008)
Renew. Energy
, vol.33
, pp. 1435-1443
-
-
Chaabene, M.1
Ammar, M.B.2
-
7
-
-
55749102430
-
An application of artificial neural network models to estimate air temperature data in areas with sparse network of meteorological stations
-
Chronopoulosa K.I., Tsirosb I.X., Dimopoulosc I.F., Alvertos N. An application of artificial neural network models to estimate air temperature data in areas with sparse network of meteorological stations. J. Environ. Sci. Health. Part A Toxic/Hazard. Subst. Environ. Eng. 2008, 43(14):1752-1757.
-
(2008)
J. Environ. Sci. Health. Part A Toxic/Hazard. Subst. Environ. Eng.
, vol.43
, Issue.14
, pp. 1752-1757
-
-
Chronopoulosa, K.I.1
Tsirosb, I.X.2
Dimopoulosc, I.F.3
Alvertos, N.4
-
8
-
-
79551476028
-
Evapotranspiration estimation by two different neuro-fuzzy inference systems
-
Cobaner M. Evapotranspiration estimation by two different neuro-fuzzy inference systems. J. Hydrol. 2011, 398(3-4):292-302.
-
(2011)
J. Hydrol.
, vol.398
, Issue.3-4
, pp. 292-302
-
-
Cobaner, M.1
-
9
-
-
33847755184
-
Neural network application for thermal image recognition of low-resolution objects
-
Fang Y.C., Wu B.-W. Neural network application for thermal image recognition of low-resolution objects. J. Opt. A: Pure Appl. Opt. 2007, 9(2):134-144.
-
(2007)
J. Opt. A: Pure Appl. Opt.
, vol.9
, Issue.2
, pp. 134-144
-
-
Fang, Y.C.1
Wu, B.-W.2
-
10
-
-
33751199924
-
Cross-correlation between weather variables in Australia
-
Guan L., Yang J., Bell J.M. Cross-correlation between weather variables in Australia. Build. Environ. 2007, 42(3):1054-1070.
-
(2007)
Build. Environ.
, vol.42
, Issue.3
, pp. 1054-1070
-
-
Guan, L.1
Yang, J.2
Bell, J.M.3
-
13
-
-
84877691893
-
Extreme temperature responses, oxidative stress and antioxidant defense in plants
-
In: Kourosh Vahdati (Ed.), InTech
-
Hasanuzzaman, M., Nahar, K., Fujita, M., 2013. Extreme temperature responses, oxidative stress and antioxidant defense in plants. In: Kourosh Vahdati (Ed.), Abiotic Stress - Plant Responses and Applications in Agriculture, ISBN: 978-953-51-1024-8, InTech, doi: . doi:10.5772/54833.
-
(2013)
Abiotic Stress - Plant Responses and Applications in Agriculture
-
-
Hasanuzzaman, M.1
Nahar, K.2
Fujita, M.3
-
14
-
-
8744225698
-
Neural network estimation of air temperatures from AVHRR data
-
Jang J.-D., Viau A.A., Anctil F. Neural network estimation of air temperatures from AVHRR data. Int. J. Remote Sens. 2004, 25(21):4541-4554.
-
(2004)
Int. J. Remote Sens.
, vol.25
, Issue.21
, pp. 4541-4554
-
-
Jang, J.-D.1
Viau, A.A.2
Anctil, F.3
-
15
-
-
79551711910
-
Wind speed prediction using artificial neural networks
-
June 3-4, Crete (Greece).
-
Kalogirou, S.A., Neocleous, C., Paschiardis, S., Schizas, C., 1999. Wind speed prediction using artificial neural networks. European Symposium on Intelligent Techniques ESIT '99, June 3-4, Crete (Greece).
-
(1999)
European Symposium on Intelligent Techniques ESIT '99
-
-
Kalogirou, S.A.1
Neocleous, C.2
Paschiardis, S.3
Schizas, C.4
-
16
-
-
1642497522
-
River flow modeling using artificial neural networks
-
Kisi O. River flow modeling using artificial neural networks. J. Hydrol. Eng. 2004, 9(1):0-63.
-
(2004)
J. Hydrol. Eng.
, vol.9
, Issue.1
, pp. 0-63
-
-
Kisi, O.1
-
17
-
-
23044459648
-
Suspended sediment estimation using neural-fuzzy and neural network approaches
-
Kisi O. Suspended sediment estimation using neural-fuzzy and neural network approaches. Hydrol. Sci. J. 2005, 50(4):83-696.
-
(2005)
Hydrol. Sci. J.
, vol.50
, Issue.4
, pp. 83-696
-
-
Kisi, O.1
-
18
-
-
79959826777
-
Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)
-
Mohandes M., Rehman S., Rahman S.M. Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS). Appl. Energy 2011, 88:4024-4032.
-
(2011)
Appl. Energy
, vol.88
, pp. 4024-4032
-
-
Mohandes, M.1
Rehman, S.2
Rahman, S.M.3
-
19
-
-
0029389917
-
The importance of maximum air temperature in the parameterisation of solar radiation in Nigeria
-
Ododo J.C., Sulaiman A.T., Aidan J., Yuguda M.M., Ogbu F.A. The importance of maximum air temperature in the parameterisation of solar radiation in Nigeria. Renew. Energy 1995, 6(7):751-763.
-
(1995)
Renew. Energy
, vol.6
, Issue.7
, pp. 751-763
-
-
Ododo, J.C.1
Sulaiman, A.T.2
Aidan, J.3
Yuguda, M.M.4
Ogbu, F.A.5
-
20
-
-
79957791736
-
Prediction of daily maximum temperature using a support vector regression algorithm
-
Paniagua-Tineo A., Salcedo-Sanz S., Casanova-Mateo C., Ortiz-García E.G., Cony M.A., Hernández-Martín E. Prediction of daily maximum temperature using a support vector regression algorithm. Renew. Energy 2011, 36(11):3054-3060.
-
(2011)
Renew. Energy
, vol.36
, Issue.11
, pp. 3054-3060
-
-
Paniagua-Tineo, A.1
Salcedo-Sanz, S.2
Casanova-Mateo, C.3
Ortiz-García, E.G.4
Cony, M.A.5
Hernández-Martín, E.6
-
21
-
-
0031772117
-
Application of neural networks in medicine a review
-
Papik K., Molnar B., Schaefer R., Dombovari Z., Tulassay Z., Feher J. Application of neural networks in medicine a review. Med. Sci. Monit. 1998, 4(3):538-546.
-
(1998)
Med. Sci. Monit.
, vol.4
, Issue.3
, pp. 538-546
-
-
Papik, K.1
Molnar, B.2
Schaefer, R.3
Dombovari, Z.4
Tulassay, Z.5
Feher, J.6
-
22
-
-
29244491457
-
Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a Diesel engine
-
Parlak A., Islamoglu Y., Yasar H., Egrisogut A. Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a Diesel engine. Appl. Therm. Eng. 2006, 26(8-9):824-828.
-
(2006)
Appl. Therm. Eng.
, vol.26
, Issue.8-9
, pp. 824-828
-
-
Parlak, A.1
Islamoglu, Y.2
Yasar, H.3
Egrisogut, A.4
-
23
-
-
0003237372
-
Empirical calibration, a requisite for evapotranspiration formulae based on daily or longer mean climatic data
-
Budapest, Hungary, International Commission on Irrigation and Drainage .
-
Pruitt, W.O., Doorenbos, J., (1977). Empirical calibration, a requisite for evapotranspiration formulae based on daily or longer mean climatic data. In: Proc. Int. Round Table Conf. on Evapotranspiration, Budapest, Hungary, International Commission on Irrigation and Drainage, 20pp.
-
(1977)
Proc. Int. Round Table Conf. on Evapotranspiration
, pp. 20
-
-
Pruitt, W.O.1
Doorenbos, J.2
-
24
-
-
39649125438
-
Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment
-
Rahimikhoob A. Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment. Irrig. Sci. 2008, 26(3):253-259.
-
(2008)
Irrig. Sci.
, vol.26
, Issue.3
, pp. 253-259
-
-
Rahimikhoob, A.1
-
25
-
-
77953810978
-
Estimation of evapotranspiration based on only air temperature data using artificial neural Networks for a subtropical climate in Iran
-
Rahimikhoob A. Estimation of evapotranspiration based on only air temperature data using artificial neural Networks for a subtropical climate in Iran. Theor. Appl. Climatol. 2010, 101(1-2):83-91.
-
(2010)
Theor. Appl. Climatol.
, vol.101
, Issue.1-2
, pp. 83-91
-
-
Rahimikhoob, A.1
-
26
-
-
77950916143
-
Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment
-
Rahimikhoob A. Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment. Renew. Energy 2010, 35(9):2131-2135.
-
(2010)
Renew. Energy
, vol.35
, Issue.9
, pp. 2131-2135
-
-
Rahimikhoob, A.1
-
27
-
-
0002764324
-
Predicted effects of climate change on agriculture: a comparison of temperate and tropical regions
-
The Pennsylvania Academy of Sciences, PA, S.K. Majumdar (Ed.)
-
Rosenzweig C., Liverman D. Predicted effects of climate change on agriculture: a comparison of temperate and tropical regions. Global Climate Change: Implications, Challenges, and Mitigation Measures 1992, 342-361. The Pennsylvania Academy of Sciences, PA. S.K. Majumdar (Ed.).
-
(1992)
Global Climate Change: Implications, Challenges, and Mitigation Measures
, pp. 342-361
-
-
Rosenzweig, C.1
Liverman, D.2
-
28
-
-
0034286972
-
A comparison of various forecasting techniques applied to mean hourly wind speed time series
-
Sfetsos A. A comparison of various forecasting techniques applied to mean hourly wind speed time series. Renew. Energy 2000, 21:23-35.
-
(2000)
Renew. Energy
, vol.21
, pp. 23-35
-
-
Sfetsos, A.1
-
29
-
-
0021892282
-
Fuzzy identification of systems and its application to modeling and control
-
Takagi T., Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Trans. Syst. Man. Cybern. 1985, 15(1):116-132.
-
(1985)
IEEE Trans. Syst. Man. Cybern.
, vol.15
, Issue.1
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
30
-
-
23044444044
-
Temperature-based approaches for estimating reference evapotranspiration
-
Trajkovic S. Temperature-based approaches for estimating reference evapotranspiration. J. Irrig. Drain. Eng. 2005, 131(4):316-323.
-
(2005)
J. Irrig. Drain. Eng.
, vol.131
, Issue.4
, pp. 316-323
-
-
Trajkovic, S.1
-
31
-
-
62249130774
-
Comparison of radial basis function networks and empirical equations for converting from pan evaporation to reference evapotranspiration
-
Trajkovic S. Comparison of radial basis function networks and empirical equations for converting from pan evaporation to reference evapotranspiration. Hydrol. Process. 2009, 23(6):874-880.
-
(2009)
Hydrol. Process.
, vol.23
, Issue.6
, pp. 874-880
-
-
Trajkovic, S.1
-
32
-
-
76649134880
-
Testing hourly reference evapotranspiration approaches using lysimeter measurements in a semiarid climate
-
Trajkovic S. Testing hourly reference evapotranspiration approaches using lysimeter measurements in a semiarid climate. Hydrol. Res. 2010, 41(1):38-49.
-
(2010)
Hydrol. Res.
, vol.41
, Issue.1
, pp. 38-49
-
-
Trajkovic, S.1
-
33
-
-
0042231553
-
An engineering geology evaluation method based on an artificial neural network and its application
-
Yuanyou X., Yanming X., Ruigeng Z. An engineering geology evaluation method based on an artificial neural network and its application. Eng. Geol. 1997, 47(1-2):149-156.
-
(1997)
Eng. Geol.
, vol.47
, Issue.1-2
, pp. 149-156
-
-
Yuanyou, X.1
Yanming, X.2
Ruigeng, Z.3
|