فارسی
1
کامپیوتر و شبکه::
خطای جذر میانگین مربعات
For AUD-JPY in a 15 min interval, their model obtained 3.1926 × 10−3 in ME, 4.6395 × 10−2 in RMSE, and 3.4644 × 10−2 in MAE.
Using RMSE they found that their proposed C-RNN model provides less errors than LSTM and CNN.
For USDJPY, USDCAD, and USDCHF currency pairs the error rates they got using RMSE were 0.0167, 0.0195, and 0.0210 respectively.
result in terms of MAPE, MAE, RMSE, and MFE performance evaluation.
They used root mean square error (RMSE) for the performance evaluation of their proposed model.
واژگان شبکه مترجمین ایران
2
برق و الکترونیک::
ریشه میانگین مربعات خطا، ریشه میانگین مربعات خطا
regression problems is the Root Mean Square Error (RMSE).
For example, an RMSE equal to 50,000 means that about 68% of the system's predictions fall within $50,000 of the actual value, and about 95% of the predictions fall within $100,000 of the actual value.5 Equation 2-1 shows the mathematical formula to compute the RMSE.
Root Mean Square Error (RMSE)
RMSE X, h =
• m is the number of instances in the dataset you are measuring the RMSE on.،IPP Individual Prediction Performance GNB Gaussian Naïve Bayes GA Genetic Algorithm KKT Karush-Kuhn-Tucker Conditions MAR Missing At Random MC Main Classifier MCAR Missing Completely At Random NIL Non-Incremental Learning NMAR Not Missing At Random ND Novelty Detection NPP Net Prediction Performance Nr Normal NSV Number of Support Vectors NUC Non-Updated Classifier OCC One Class Classifiers OCS One Class Support Vector Machines OCS_Nr One Class Support vector machine trained with normal class OCS_F1 One Class Support vector machine trained with F1 class OCS_F2 One Class Support vector machine trained with F2 class OCS_F3 One Class Support vector machine trained with F3 class OK Ordinary Kriging OM Online Monitoring module OMU Offline Model Updating OVPP Overall Validation Prediction Performance QP Quadratic Problem RBF Radial Basis Function RMSE Root Mean Square Error RP Removing Percentage RV Retraining Value SV Support Vector
𝑟𝑚𝑠𝑒𝑇𝑒𝑐,𝑗 RMSE between 𝑚̂ 𝑇𝑒𝑐,𝑗 and 𝑚°
Root Mean Square Error (RMSE) is calculated as an index for comparing performance, Equation (2. 3):
Next, samples of the reference dataset and arriving dataset for each class, in new space, are compared based on RMSE.
The observer achieves a very small normalized root mean square error of 1.05%, 1.1%, 1.02 % for each model respectively.
واژگان شبکه مترجمین ایران
3
عمومی::
میانگین مربع خطا
Some of the more common "quality" measures are the root mean square error (RMSE), bias, coefficient of determination or commonly the R2 value, and concordance.
The RMSE is defined as:
Therefore setting the type parameter to "DSM" will output only the R2, RMSE, MSE, bias and concordance statistics as these are most relevant to DSM.
## R2 concordance MSE RMSE bias
## R2 concordance MSE RMSE bias
واژگان شبکه مترجمین ایران