coefficient root-mean-square
Biological Forum An International Journal 7(1): (2015)
... as mean monthly to the algorithm as input variables and monthly potential evapotranspiration months later, as the output variables, to the M5P algorithm were evaluated using “correlation coefficient”, ...
5
Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter
... crop coefficient (Kc) value, which is related to a specific crop growth development ...crop coefficient. The Nash-Sutcliffe efficiency (NSE), the ratio of the root mean square error to ...
6
Predicting Reservoir Evaporation Using Artificial Neural Network
... From the table the highest value of correlation coefficient and minimum root mean square error suggests the suitability of ANN-2 model. ANN-4 model has close results to ANN-2 model. The inputs ...
7
Determining a robust indirect measurement of leaf area index in California vineyards for validating remote sensing-based retrievals
... method with the sensor facing the canopy, and 4 readings occurring evenly across the interrow space, 19.. had a coefficient of determination (R 2 ) of 0.87 and relative root mean square[r] ...
22
A Comparison of VNIR and MIR Spectroscopy for Predicting Various Soil Properties
... Showing 1:1 line (black), regression slope (red), training set (black), test set (red), R2 (coefficient of determination), RMSE (root mean square error of training set), RMSECV (root m[r] ...
151
STAGE-DISCHARGE MODELING USING SUPPORT VECTOR MACHINES
... Correlation coefficient and root mean square error (RMSE) values for different data sets (Tables 3 & 4) are used for the performance evaluation of the models and comparison of the results ...
9
How to choose and interpret similarity indices to quantify the variability in gait joint kinematics
... Correlation Coefficient (ICC) (Shrout and Fleiss 1979), Standard Error of Measurement (SEM) (Stratford and Goldsmith 1997), Technical Error of Measurement (TEM) (Curtis et ...the Root Mean ...
9
Calibration and Evaluation of Link Congestion Functions: Applying Intrinsic Sensitivity of Link Speed as a Practical Consideration to Heterogeneous Facility Types within Urban Network
... as root mean square error (RMSE) or coefficient of determination (R 2 ) but also account for sensitivity of link travel speed to change in congestion or demand, which is measured as a slope of ...
9
Predicting Compressive Strength of Recycled Concrete for Construction 3D Printing Based on Statistical Analysis of Various Neural Networks
... the root-mean-square error (RMSE) and the coefficient of deter- mination (R2) of these neural networks, we can determine the best perfor- mance among four neural networks and finally select ...
19
Kinetic Analysis of the Adsorption of the Brominated Flame Retardant 4-bromodiphenyl Ether onto Biochar-immobilized Sphingomonas sp.
... on root- mean-square error (RMSE), adjusted coefficient of determination (adjR 2 ), bias factor (BF), accuracy factor (AF), corrected AICc ...
5
Flood Forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
... as Root Mean Square Error (RMSE), Correlation Coefficient (R), Coefficient of Determination (R 2 ) and Discrepancy Ratio (D) are used to evaluate performance of the ANFIS models in ...
5
QSAR-based rational discovery of novel substituted-4′-iminospiro[indoline-3,3′-[1,2,5]thiadiazolidinyl]-2-one 1′,1′-dioxide with potent in vitro anticancer activity
... RMSE: root of mean square error; RMSD: root of mean square deviation; PDB: protein data bank; Trp: tryptophan; His: histidine; Tyr: tyrosine; Phe: phenyl alanine; Cys: cysteine; ...
17
Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data
... simulations. Mean bias of all stations was reduced to ...zonal mean values from FLEXPART CTM and TM5 simulations and zonal mean values from the GLOBALVIEW-CH4 product in ...
19
Direct determination of the kinetics of oxygen diffusion to the photocytes of a bioluminescent elaterid larva, measurement of gas and aqueous phase diffusional barriers and modelling of oxygen supply
... We describe the development and use of a direct kinetic technique to determine the time taken for oxygen to diffuse from the external environment into the light- producing cells (photocytes) in the prothorax of ...
6
Generalized maximum entropy (GME) estimator: formulation and a monte carlo study
... and root mean square error ...parameter. Root mean square error is, as known, the square root of mean square error (MSE) which is given by the sum of ...
18
SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD
... Lubna A Gabralla et al. (2013) [7] proposed a wide literature on two decades of research on crude oil price forecasting. Mayuree Sompui et al. (2014) [8] proposed an artificial neural network of one, two, three and four ...
9
<p>Polish Adaptation of the Self-Care of Diabetes Inventory (SCODI)</p>
... The study was conducted between March 2018 and March 2019 in the Wroclaw University Hospital in Poland. The sample of 276 patients with type 2 diabetes (mean age 61.28 years) was recruited from 373 eligible ...
10
Kinematics of flight and the relationship to the vortex wake of a Pallas' long tongued bat (Glossophaga soricina)
... rigid wings that are difficult to flex. Tobalske and colleagues (Tobalske et al., 2007) showed that rufous hummingbirds, which also have rigid wings, had little variation in the span ratio and exhibited the highest ...
12
Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence
... the Root- mean-square error. As Root-mean-square error ought to be lower which implies algorithm is indicating the superior results when compared to access ...proposed ...
7
A gait abnormality measure based on root mean square of trunk acceleration
... Root mean square (RMS) of acceleration is also seen frequently in gait analysis research [3-8,11,12,15-17]. This parameter constitutes a statistical measure of the magnitude of acceleration. ...
7