Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models
暂无分享,去创建一个
Özgür Kisi | Zaher Mundher Yaseen | Ravinesh C. Deo | Kourosh Mohammadi | Suraj Kumar Bhagat | M. Farahani | Maryam Bayat Varkeshi | A. Hasani | R. Deo | Z. Yaseen | Ö. Kisi | K. Mohammadi | S. K. Bhagat | M. B. Varkeshi | A. Hasani | M. Farahani
[1] P. Willems,et al. Short‐term forecasting of soil temperature using artificial neural network , 2015 .
[2] T. Chow,et al. Estimation of soil temperature profile in Hong Kong from climatic variables , 2011 .
[3] R. M. Lark,et al. Multiresolution analysis of data on electrical conductivity of soil using wavelets , 2003 .
[4] R. M. Lark,et al. Analysis and elucidation of soil variation using wavelets , 1999 .
[5] Paul Leahy,et al. Structural optimisation and input selection of an artificial neural network for river level prediction , 2008 .
[6] Zaher Mundher Yaseen,et al. Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile , 2018, Journal of Hydrology.
[7] Kourosh Mohammadi,et al. Soil temperature estimation using an artificial neural network and co-active neuro-fuzzy inference system in two different climates , 2016, Arabian Journal of Geosciences.
[8] Craig B. Borkowf,et al. Time-Series Forecasting , 2002, Technometrics.
[9] Zaher Mundher Yaseen,et al. Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA , 2017, Water Resources Management.
[10] Jan Adamowski,et al. Using wavelet transforms to estimate surface temperature trends and dominant periodicities in Iran based on gridded reanalysis data , 2015 .
[11] U. Okkan,et al. Wavelet neural network model for reservoir inflow prediction , 2012 .
[12] Ravinesh C. Deo,et al. An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index , 2018, Atmospheric Research.
[13] Vahid Nourani,et al. Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study: Verayneh Station, Nahavand) , 2014 .
[14] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Latha Parthiban,et al. An intelligent agent for detection of erythemato- squamous diseases using Co-active Neuro-Fuzzy Inference System and genetic algorithm , 2009, 2009 International Conference on Intelligent Agent & Multi-Agent Systems.
[16] Ozgur Kisi,et al. Non-tuned data intelligent model for soil temperature estimation: A new approach , 2018, Geoderma.
[17] Zaher Mundher Yaseen,et al. Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research , 2020, Journal of Cleaner Production.
[18] R. Deo,et al. Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model , 2017, Stochastic Environmental Research and Risk Assessment.
[19] Muttucumaru Sivakumar,et al. Prediction of urban stormwater quality using artificial neural networks , 2009, Environ. Model. Softw..
[20] Zaher Mundher Yaseen,et al. Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models. , 2020, Environmental pollution.
[21] Holger R. Maier,et al. Input determination for neural network models in water resources applications. Part 1—background and methodology , 2005 .
[22] X. Wen,et al. A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset , 2016 .
[23] Özgür Kisi,et al. Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models , 2017, Neural computing & applications (Print).
[24] Ravinesh C. Deo,et al. Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical Photosynthetically Active Radiation , 2018, Food and Energy Security.
[25] Guangsheng Zhou,et al. Temperature sensitivity increases with decreasing soil carbon quality in forest ecosystems across northeast China , 2020, Climatic Change.
[26] S. Moga,et al. Comparison of wavelet families with application to WiMAX traffic forecasting , 2010, 2010 12th International Conference on Optimization of Electrical and Electronic Equipment.
[27] Joaquim Monserrat,et al. Time series outlier and intervention analysis: Irrigation management influences on soil water content in silty loam soil , 2012 .
[28] Guangming Liu,et al. Artificial neural network and time series models for predicting soil salt and water content. , 2010 .
[29] G. Mihalakakou,et al. On estimating soil surface temperature profiles , 2002 .
[30] Hafzullah Aksoy,et al. Using wavelets for data generation , 2001 .
[31] Ozgur Kisi,et al. Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review , 2014 .
[32] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[33] Ozgur Kisi,et al. Wavelet neural networks and gene expression programming models to predict short-term soil temperature at different depths , 2018 .
[34] Zaher Mundher Yaseen,et al. Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review , 2017, Theoretical and Applied Climatology.
[35] Umut Okkan,et al. The combined use of wavelet transform and black box models in reservoir inflow modeling , 2013 .
[36] Zaher Mundher Yaseen,et al. A survey on river water quality modelling using artificial intelligence models: 2000–2020 , 2020 .
[37] D. Marquardt. An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .
[38] J. Behmanesh,et al. Estimation of soil temperature using gene expression programming and artificial neural networks in a semiarid region , 2017, Environmental Earth Sciences.
[39] Steven W. Running,et al. A daily soil temperature model based on air temperature and precipitation for continental applications , 1993 .
[40] Nai-Jia Guo,et al. Spatiotemporal modeling of monthly soil temperature using artificial neural networks , 2013, Theoretical and Applied Climatology.
[41] Xuesong Zhang,et al. Modeling soil temperature in a temperate region: A comparison between empirical and physically based methods in SWAT , 2019, Ecological Engineering.
[42] Ningbo Cui,et al. Estimation of soil temperature from meteorological data using different machine learning models , 2019, Geoderma.
[43] Tran Minh Tung,et al. Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia. , 2020, Journal of hazardous materials.
[44] T. Chai,et al. Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .
[45] Zaher Mundher Yaseen,et al. RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia , 2015, Neural Computing and Applications.
[46] Ozgur Kisi,et al. Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques , 2017, Theoretical and Applied Climatology.
[47] Zaher Mundher Yaseen,et al. Artificial intelligence based models for stream-flow forecasting: 2000-2015 , 2015 .
[48] Jan Adamowski,et al. Forecasting soil temperature based on surface air temperature using a wavelet artificial neural network , 2017 .
[49] J. Abraham,et al. Estimation of daily soil temperature via data mining techniques in semi-arid climate conditions , 2017 .
[50] Zaher Mundher Yaseen,et al. Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation , 2018, Water Resources Management.
[51] Min Wu,et al. Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems , 2019, Journal of Hydrology.
[52] Ali Aytek,et al. Co-active neurofuzzy inference system for evapotranspiration modeling , 2009, Soft Comput..
[53] Nadhir Al-Ansari,et al. Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model , 2018, Energies.
[54] Zaher Mundher Yaseen,et al. Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model , 2017 .