Sentence examples for minimum mean absolute from inspiring English sources

The minimum mean absolute percentage errors of 1.003% and 0.5161% for CODeff and SSeff could be achieved using ANFIS.

The minimum mean absolute percentage errors of 11.99% and 12.75% for SSeff and CODeff could be achieved using ANFIS.

The minimum mean absolute percentage errors of 2.67%, 2.80%, and 0.42% for SSeff, CODeff, and pHeff could be achieved using ANFIS.

The best ANN algorithm and model are identified based on minimum mean absolute error (MAE) and root mean square error (RMSE) and maximum linear correlation coefficient (R).

The results show that the network yields a maximum correlation coefficient with minimum mean absolute relative error and root mean square error.

The computer simulated experiments show that the suppressing noise capability of the optimal stack filters based on the MMSE criterion is better than that of the optimal stack filters based on the minimum mean absolute error (MMAE) criterion.

A complete set of descriptive statistics are provided including the mean, standard deviation, median, trimmed mean, mean absolute deviation, minimum, maximum, range, skewness, kurtosis, and standard error of the mean.

First, a 6-4-6 network architecture (six input nodes corresponding to the state variables and six output nodes corresponding to the six malfunctions) was chosen based on the minimum root-mean-square-error and mean absolute percentage error; and a maximum value of the Pearson correlation coefficient (CP).

Abiotic variables included in the model were mean, absolute maximum and absolute minimum yearly temperature, monthly mean maximum and minimum temperatures (in °C), total and mean monthly rainfall (in mm), mean, absolute maximum and minimum Normalized Derived Vegetation Index (NDVI from −1 to 1), mean monthly maximum NDVI, and a yearly plant productivity index.

However, if the null hypothesis is accepted then the proposed framework selects either the MLP or regression model based on the average of Minimum Absolute Percentage Error (MAPE), Mean Square Error (MSE) and Mean Absolute Error (MAE).

We determined the ranks of these genes based on their absolute value of regression coefficient at the minimum mean squared error (MSE) determined by 10-fold cross validation.