메뉴 건너뛰기




Volumn 35, Issue 1, 2011, Pages 83-93

The use of artificial neural networks for forecasting the monthly mean soil temperatures in Adana, Turkey;Türkiye'nin Adana ilindeki aylık ortalama toprak sıcaklıklarının tahmini için yapay sinir aǧlarının kullanımı

Author keywords

Artificial neural network; Meteorological variables; Prediction; Soil temperature

Indexed keywords

BACKPROPAGATION ALGORITHMS; FEEDFORWARD NEURAL NETWORKS; FORECASTING; METEOROLOGY; NEURAL NETWORKS; SOIL TESTING; SOILS;

EID: 79251542399     PISSN: 1300011X     EISSN: None     Source Type: Journal    
DOI: 10.3906/tar-1001-593     Document Type: Article
Times cited : (45)

References (27)
  • 2
    • 75649096042 scopus 로고    scopus 로고
    • Prediction of long-term monthly temperature and rainfall in Turkey
    • Bilgili M, Sahin B (2010) Prediction of long-term monthly temperature and rainfall in Turkey. Energy Sources 32: 60-71.
    • (2010) Energy Sources , vol.32 , pp. 60-71
    • Bilgili, M.1    Sahin, B.2
  • 3
    • 34250762015 scopus 로고    scopus 로고
    • Application of artificial neural networks for the wind speed prediction of target station using reference stations data
    • Bilgili M, Sahin B, Yasar A (2007) Application of artificial neural networks for the wind speed prediction of target station using reference stations data. Renewable Energy 32: 2350-2360.
    • (2007) Renewable Energy , vol.32 , pp. 2350-2360
    • Bilgili, M.1    Sahin, B.2    Yasar, A.3
  • 4
    • 58149289352 scopus 로고    scopus 로고
    • Ground temperature estimations using simplified analytical and semi-empirical approaches
    • Droulia F, Lykoudis S, Tsiros I, Alvertos N, Akylas E, Garofalakis I (2009) Ground temperature estimations using simplified analytical and semi-empirical approaches. Solar Energy 83: 211-219.
    • (2009) Solar Energy , vol.83 , pp. 211-219
    • Droulia, F.1    Lykoudis, S.2    Tsiros, I.3    Alvertos, N.4    Akylas, E.5    Garofalakis, I.6
  • 5
    • 34247109046 scopus 로고    scopus 로고
    • Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models
    • Elminir HK, Azzam YA, Younes FI (2007) Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models. Energy 32: 1513-1523.
    • (2007) Energy , vol.32 , pp. 1513-1523
    • Elminir, H.K.1    Azzam, Y.A.2    Younes, F.I.3
  • 7
    • 64849117838 scopus 로고    scopus 로고
    • Generalized regression neural networks and feed forward neural networks for prediction of scour depth around bridge piers
    • Firat M, Gungor M (2009) Generalized regression neural networks and feed forward neural networks for prediction of scour depth around bridge piers. Advances in Engineering Software 40: 731-737.
    • (2009) Advances In Engineering Software , vol.40 , pp. 731-737
    • Firat, M.1    Gungor, M.2
  • 10
    • 33745624576 scopus 로고    scopus 로고
    • Soil temperatures at Armagh observatory, northern Ireland, from190 to 2002
    • García-Suárez AM, Butler CJ (2006) Soil temperatures at Armagh observatory, northern Ireland, from190 to 2002. International Journal of Climatology 26: 1075-1089.
    • (2006) International Journal of Climatology , vol.26 , pp. 1075-1089
    • García-Suárez, A.M.1    Butler, C.J.2
  • 11
    • 0035424839 scopus 로고    scopus 로고
    • Prediction of soil temperature by using artificial neural networks algorithms
    • George RK (2001) Prediction of soil temperature by using artificial neural networks algorithms. Nonlinear Analysis 7: 1737-17 8.
    • (2001) Nonlinear Analysis , vol.47 , pp. 1737-1748
    • George, R.K.1
  • 13
    • 0034963531 scopus 로고    scopus 로고
    • Artificial neural networks in renewable energy systems applications: A review
    • 373-301
    • Kalogirou SA (2001) Artificial neural networks in renewable energy systems applications: a review. Renewable and Sustainable Energy Reviews 5: 373-301.
    • (2001) Renewable and Sustainable Energy Reviews , vol.5
    • Kalogirou, S.A.1
  • 14
    • 0034308212 scopus 로고    scopus 로고
    • Predicting spatial and temporal patterns of soil temperature based on topography, surface cover and air temperature
    • Kang S, Kim S, Oh S, Lee D (2000) Predicting spatial and temporal patterns of soil temperature based on topography, surface cover and air temperature. Forest Ecology and Management 136: 173-184
    • (2000) Forest Ecology and Management , vol.136 , pp. 173-184
    • Kang, S.1    Kim, S.2    Oh, S.3    Lee, D.4
  • 15
    • 0031189867 scopus 로고    scopus 로고
    • Using artificial neural networks to predict interior velocity coefficients
    • Krauss G, Kindangen JI, Depecker P (1997) Using artificial neural networks to predict interior velocity coefficients. Building and Environment 32: 295-303.
    • (1997) Building and Environment , vol.32 , pp. 295-303
    • Krauss, G.1    Kindangen, J.I.2    Depecker, P.3
  • 16
    • 1642497522 scopus 로고    scopus 로고
    • River flow modeling using artificial neural networks
    • Kisi O (2004) River flow modeling using artificial neural networks. Journal of Hydrologic Engineering 9: 60-63.
    • (2004) Journal of Hydrologic Engineering , vol.9 , pp. 60-63
    • Kisi, O.1
  • 17
    • 33947213054 scopus 로고    scopus 로고
    • Nonlinear prediction of nearsurface temperature via univariate and multivariate time series embedding
    • Koçak K, Şaylan L, Eitzinger J (2004) Nonlinear prediction of nearsurface temperature via univariate and multivariate time series embedding. Ecological Modelling 173: 1-7.
    • (2004) Ecological Modelling , vol.173 , pp. 1-7
    • Koçak, K.1    Şaylan, L.2    Eitzinger, J.3
  • 19
    • 27744501238 scopus 로고    scopus 로고
    • Artificial neural network application for multi-ecosystem carbon flux simulation
    • Melesse AM, Hanley RS (2005) Artificial neural network application for multi-ecosystem carbon flux simulation. Ecological Modelling 189: 305-314.
    • (2005) Ecological Modelling , vol.189 , pp. 305-314
    • Melesse, A.M.1    Hanley, R.S.2
  • 20
    • 0036497467 scopus 로고    scopus 로고
    • On estimating soil surface temperature profiles
    • Mihalakakou G (2002) On estimating soil surface temperature profiles. Energy and Buildings 3: 251-259.
    • (2002) Energy and Buildings , vol.3 , pp. 251-259
    • Mihalakakou, G.1
  • 22
    • 69549107508 scopus 로고    scopus 로고
    • Soil temperature calculation for burial site analysis
    • Prangnell J, McGowan G (2009) Soil temperature calculation for burial site analysis. Forensic Science International 191: 104-109.
    • (2009) Forensic Science International , vol.191 , pp. 104-109
    • Prangnell, J.1    McGowan, G.2
  • 23
    • 12444263238 scopus 로고    scopus 로고
    • Forecasting based on neural network approach of solar potential in Turkey
    • Sözen A, Arcaklioǧlu E, Özalp M, Çaǧlar N (2005) Forecasting based on neural network approach of solar potential in Turkey. Renewable Energy 30: 1075-1090.
    • (2005) Renewable Energy , vol.30 , pp. 1075-1090
    • Sözen, A.1    Arcaklioǧlu, E.2    Özalp, M.3    Çaǧlar, N.4
  • 24
    • 0036898378 scopus 로고    scopus 로고
    • Artificial neural networks for sheet sediment transport
    • Tayfur G (2002) Artificial neural networks for sheet sediment transport. Hydrological Science Journal 7: 879-892.
    • (2002) Hydrological Science Journal , vol.7 , pp. 879-892
    • Tayfur, G.1
  • 25
    • 0032477357 scopus 로고    scopus 로고
    • Diurnal soil temperature fluctuations for different erosion classes of an oxisol atMlingano, Tanzania
    • Tenge AJ, Kagihura FBS, Lal R, Singh BR (1998) Diurnal soil temperature fluctuations for different erosion classes of an oxisol atMlingano, Tanzania. Soil and Tillage Research 9: 211-217.
    • (1998) Soil and Tillage Research , vol.9 , pp. 211-217
    • Tenge, A.J.1    Kagihura, F.B.S.2    Lal, R.3    Singh, B.R.4
  • 26
    • 62749207101 scopus 로고    scopus 로고
    • Forecast of daily mean, maximum and minimum temperature time series by three artificial neural networkmethods
    • Ustaoglu B, Cigizoglu HK, Karaca M (2008) Forecast of daily mean, maximum and minimum temperature time series by three artificial neural networkmethods. Meteorological Applications 15: 31- 5.
    • (2008) Meteorological Applications , vol.15 , pp. 431-445
    • Ustaoglu, B.1    Cigizoglu, H.K.2    Karaca, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.