Reference health
New input selection procedure for machine learning methods in estimating daily global solar radiation
1 of 78 checkable references need attention · checked 2026-07-23
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
4 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.5555/2998981.2999021
The 77 checked references that resolve
resolves10.1016/j.jhydrol.2006.09.014
Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT
resolves10.3390/en12020329
Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation
resolves10.1016/j.jhydrol.2019.124371
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
resolves10.1007/s12517-019-4781-6
Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs
resolves10.1007/s00704-019-02905-w
Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA
resolves10.1016/j.compag.2019.03.022
Solar radiation estimation methods using ANN and empirical models
resolves10.1080/09715010.2018.1498754
Estimation of daily pan evaporation using neural networks and meta-heuristic approaches
resolves10.1080/02626667.2019.1676428
Evaporation process modelling over northern Iran: application of an integrative data-intelligence model with the krill herd optimization algorithm
resolves10.1061/(ASCE)IR.1943-4774.0001471
Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran
resolves10.1109/ICRERA.2013.6749750
Prediction of global solar radiation in UAE using artificial neural networks
resolves10.1016/j.enconman.2009.02.019
An integrated artificial neural networks approach for predicting global radiation
resolves10.1016/j.enconman.2009.03.035
ANN-based modelling and estimation of daily global solar radiation data: A case study
resolves10.1007/s11356-019-06419-w
Sensitivity analysis of the reference crop evapotranspiration in a humid region
resolves10.1007/s00704-020-03248-7
An investigation on spatial and temporal trends in frost indices in Northern Iran
resolves10.1049/ip-g-2.1992.0050
Conjugate gradient algorithm for efficient training of artificial neural networks
resolves10.1007/s00704-013-0924-y
Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables
resolves10.1016/j.scitotenv.2018.10.064
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
resolves10.1016/S0022-1694(00)00214-6
Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
resolves10.1016/j.renene.2017.09.078
Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
resolves10.1061/(ASCE)0887-3801(2001)15:3(208)
Model Induction with Support Vector Machines: Introduction and Applications
resolves10.1016/j.jhydrol.2004.04.009
Selection of variables for the purpose of regionalization of Iran's precipitation climate using multivariate methods
resolves10.1007/s00704-019-02810-2
Impact of climate change on streamflow timing (case study: Guilan Province)
resolves10.1016/j.rser.2019.01.040
Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China
resolves10.1007/s12665-015-5096-x
A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction
resolves10.1140/epjp/i2018-12029-7
Estimation of the daily global solar radiation based on the Gaussian process regression methodology in the Saharan climate
resolves10.2134/agronj1992.00021962008400040036x
Estimation of Solar Radiation Data Missing from Long‐Term Meteorological Records
resolves10.1007/s12665-017-6938-5
Support vector machines and feed-forward neural networks for spatial modeling of groundwater qualitative parameters
resolves10.1007/s00704-018-2666-3
A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran
resolves10.1016/j.energy.2017.05.018
Estimation of diffuse solar radiation in humid-subtropical climatic region of India: Comparison of diffuse fraction and diffusion coefficient models
resolves10.1175/1520-0450-34.1.68
Topographic and Atmospheric Influences on Precipitation Variability over a Mountainous Watershed
resolves10.4141/cjps93-068
Estimating global solar radiation from common meteorological observations in western Canada
resolves10.1007/s11600-020-00419-y
Simulating Caspian Sea surface water level by artificial neural network and support vector machine models
resolves10.1061/(ASCE)0733-9437(2005)131:4(390)
Discussion of “Forecasting of Reference Evapotranspiration by Artificial Neural Networks” by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic
resolves10.1016/j.scitotenv.2017.01.020
Predicting the particle size distribution of eroded sediment using artificial neural networks
resolves10.1016/j.energy.2019.115857
Estimation of hourly global solar radiation using Multivariate Adaptive Regression Spline (MARS) – A case study of Hong Kong
resolves10.1016/j.scitotenv.2018.10.155
Performance assessment of stormwater GI practices using artificial neural networks
resolves10.1016/j.energy.2004.04.035
Selection of input parameters to model direct solar irradiance by using artificial neural networks
resolves10.1016/j.renene.2017.01.061
Daily global solar radiation estimation in desert areas using daily extreme temperatures and extraterrestrial radiation
resolves10.1007/s11356-018-3026-7
Using the combined model of gamma test and neuro-fuzzy system for modeling and estimating lead bonds in reservoir sediments
resolves10.1016/j.solener.2012.08.005
Modeling global solar radiation using Particle Swarm Optimization (PSO)
resolves10.1016/S0960-1481(98)00065-2
Estimation of global solar radiation using artificial neural networks
resolves10.3390/w11040742
Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms
resolves10.1002/joc.4182
Delineation of the climatic rainfall regions of South Korea based on a multivariate analysis and regional rainfall frequency analyses
resolves10.1016/0022-1694(70)90255-6
River flow forecasting through conceptual models part I — A discussion of principles
resolves10.3390/w11020394
Water Quality Modeling of Mahabad Dam Watershed–Reservoir System under Climate Change Conditions, Using SWAT and System Dynamics
resolves10.2166/aqua.2019.044
Sensitivity analysis of the DEM resolution and effective parameters of runoff yield in the SWAT model: a case study
resolves10.1016/j.jhydrol.2011.02.021
Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
resolves10.3390/app9010209
Some Applications of ANN to Solar Radiation Estimation and Forecasting for Energy Applications
resolves10.1016/j.jhydrol.2017.01.018
Physical and numerical modeling of performance of detention dams
resolves10.1016/j.atmosres.2017.08.016
An Iberian climatology of solar radiation obtained from WRF regional climate simulations for 1950–2010 period
resolves10.1080/01430750.2018.1443498
Hybrid models for global solar radiation prediction: a case study
resolves10.1007/s12517-016-2601-9
Evaluating the support vector machine for suspended sediment load forecasting based on gamma test
resolves10.2166/wcc.2018.003
Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an arid area of Iran
resolves10.1016/j.apenergy.2008.06.003
Estimation of solar radiation over Turkey using artificial neural network and satellite data
resolves10.1016/j.rser.2015.11.055
Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model
resolves10.1007/s12517-018-3614-3
Rainfall-runoff modeling in hilly watershed using heuristic approaches with gamma test
resolves10.1016/S0306-2619(03)00137-5
Use of artificial neural networks for mapping of solar potential in Turkey
resolves10.3390/su8111076
Groundwater Depth Prediction Using Data-Driven Models with the Assistance of Gamma Test
resolves10.1016/j.jclepro.2016.09.145
Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data
resolves10.1016/j.rser.2018.12.029
Prediction of diffuse solar radiation based on multiple variables in China
resolves10.1016/j.energy.2016.05.095
A method for daily global solar radiation estimation from two instantaneous values using MODIS atmospheric products
resolves10.1016/j.agrformet.2006.02.001
Improving estimation of hourly, daily, and monthly solar radiation by importing global data sets
resolves10.1016/j.renene.2018.12.065
Estimation and validation of daily global solar radiation by day of the year-based models for different climates in China
resolves10.1134/S1995082919040175
Analysis of Relations between Communities of Hydrobionts in Saline Rivers by Multidimensional Block Ordination
The 4 references without a DOI — listed, not checked
no DOI — not checkedDurrant PJ (2001) winGamma: a non-linear data analysis and modelling tool with applications to flood prediction. Unpublished PhD thesis, Department of Computer Science, Cardiff University, Wales, UK.
no DOI — not checkedKrzanowski WJ (1987) Selection of variables to preserve multivariate data structure, using principal components. J R Stat Soc: Ser C: Appl Stat 36(1):22–33
no DOI — not checkedRumelhart DE, Hinton GE, Williams RJ (1988) Learning representations by back-propagating errors. Cognitive Model 5(3):1
no DOI — not checkedSamadianfard S, Majnooni-Heris A, Qasem SN, Kisi O, Shamshirband S, Chau KW (2019) Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate. Eng Appl Comput Fluid Mech 13(1):142–157
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