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Root Mean Square Error (RMSE)

RMSE (Root Mean Square Error), respectively.

RMSE (Root Mean Square Error), respectively.

... Abstract—The purposes of this research are to find a model to forecast the electricity consumption in a household and to find the most suitable forecasting period whether it should be in daily, weekly, monthly, or ...

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Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter

Evaluation of growth stage specific crop coefficients of maize using weighing lysimeter

... the root mean square error to the standard deviation of measured data (RSR), the root mean square error (RMSE) itself, and the coefficient of determination (R 2 ) ...

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Wavelet based Image Denoising using Weighted Highpass Filtering Coefficient and Exposure based Sub-Image Histogram Equalization Enhancement Technique

Wavelet based Image Denoising using Weighted Highpass Filtering Coefficient and Exposure based Sub-Image Histogram Equalization Enhancement Technique

... quality. Mean Square Error (MSE), Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR) used as a performance parameters which degree the feature of an ...

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Comparative study of Adaptive methodologies for Extracting Abdominal Fetal Electrocardiogram

Comparative study of Adaptive methodologies for Extracting Abdominal Fetal Electrocardiogram

... Percentage Root-Mean-Square Difference (PRD), input and output Signal to Noise Ratios (SNRs), and Root Mean Square Error ...

6

Generalized maximum entropy (GME) estimator: formulation and a monte carlo study

Generalized maximum entropy (GME) estimator: formulation and a monte carlo study

... and root mean square in small sample sizes, the root mean square error (SRMSE) can also be much more reduced by incorporating out of sample information using support ...

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New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals

New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals

... Keywords Ambient Noise, Wavelet Transform, Thresholding, Signal to Noise Ratio SNR, Root Mean Square Error RMSE, Power Spectral Density PSD, Percentage Root Mean Square Difference PRD.. [r] ...

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An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)

An Approach to Identify a Model for Efficient Prediction of Exchange Rates Using Setty Volatile Index (SVI)

... A NEURO-FUZZY system composed of an Adaptive NEURO FUZZY Inference System (ANFIS) controller used to control the stock market process model, also identified using an adaptive NEURO-FUZZY technique, is derived and ...

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Photoplethysmography: Towards a non-invasive pressure measurement technique

Photoplethysmography: Towards a non-invasive pressure measurement technique

... Figure 4 Typical scattergrams and curve fits for ln(P)-V functions using the different methods are presented. Panel (a) shows the natural logarithmic systolic pressure ln(Ps)- adjusted pulse volume (APV) function. Panel ...

5

ARIMA Modelling to Forecast and Analyze Indian Sectoral Stock Prices

ARIMA Modelling to Forecast and Analyze Indian Sectoral Stock Prices

... (root mean square error) and MAPE (mean absolute percentage error) to measure forecast accuracy, it is shown that the ARIMA model build based on past three months data is the ...

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Hybrid fastslam approach using genetic algorithm and particle swarm optimization for robotic path planning

Hybrid fastslam approach using genetic algorithm and particle swarm optimization for robotic path planning

... the error occurs during estimation process. Root mean square error (RMSE) analysis is used to calculate the ...The error is calculated based on two indicators, ...margin ...

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2-D angle of arrival estimation using a one-dimensional antenna array

2-D angle of arrival estimation using a one-dimensional antenna array

... Root mean square error RMSE and square root of the CRB for angle estimation in degrees for θ1 in degrees versus signal to noise ratio SNR in dB for a single source using the EAR-based MU[r] ...

6

Air Temperature Prediction using Artificial Neural Network for Anyigba, North Central Nigeria

Air Temperature Prediction using Artificial Neural Network for Anyigba, North Central Nigeria

... in error for future prediction. Also, Using the Root Mean Square Error (RMSE) as a means of comparison, the result shows that the model predictions are in good agreement with the values ...

6

AQUA Satellite Data and Imputation of Geopotential Height: A Case Study for Pakistan

AQUA Satellite Data and Imputation of Geopotential Height: A Case Study for Pakistan

... include Root Mean Square Error [RMSE], Mean Absolute Error [MAE], Correlation Coeffi- cient [Corr] and Coefficient of Determination [R 2 ...

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BHPMF – a hierarchical Bayesian approach to gap filling and trait prediction for macroecology and functional biogeography

BHPMF – a hierarchical Bayesian approach to gap filling and trait prediction for macroecology and functional biogeography

... and root mean square error (RMSE) of species mean (MEAN), probabilistic matrix factorization (PMF), Bayesian hierarchical PMF (BHPMF) and advanced hierarchical PMF (aHPMF) by ...

12

Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events

Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events

... the Root Mean Square Error (RMSE) or the Mean Absolute Peak Time Error (MAPTE) and the advantages of visual inspection as a pow- erful tool for simultaneous, case-specific and ...

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Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

Analyzing Cervical Cancer by using an Ensemble Learning Approach based on Meta Classifier

... as Mean Absolute Logarithmic Error (MALE), Root Mean Square Logarithmic Error (RMSLE), Mean Absolute Error (MAE) and Root Mean Square ...

5

Development of a Computer Aided System for Swine Flu Prediction using Computional Intelligence

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 ...

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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

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: ...

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Robustness of Bootstrap Estimators to Influential Observations

Robustness of Bootstrap Estimators to Influential Observations

... bootstrap mean and standard ...the mean, standard error, absolute bias, mean square error and the root mean square ...

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NARCCAP Model Skill and Bias for the Southeast United States

NARCCAP Model Skill and Bias for the Southeast United States

... and mean precipitation during a historical reference period, ...with root-mean square error or mean absolute error, because several models overestimated the frequency of ...

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