Standardized differences in national estimates are reported between the two post-stratification methods for anchored and non-anchored patient characteristics to evaluate estimation quality. Primary measures evaluated are patient and hospital characteristics, stroke severity, vital and laboratory measures, ...
Editors of REA
Pearson’s correlation coefficient is based on the method of covariance, which means that it measures the association of two continuous variables X and Y. It is used to determine the correlation between two continuous variables [61]. It gives information about correlation, which in this case, ...
The model reaches the consensus decision via the Borda and Copeland methods, and measures consensus via the Kemeny's measure. Different from the method of measuring the consensus of SAM, the Kemeny's measure calculates the agreement between the individuals' preferences and the final decision, but ...
intuitionistic fuzzy set; multisource combined weights; attribute measures; prediction of rockburst propensity; indicator vagueness MSC: 28E99 1. Introduction A rockburst is a geological hazard that occurs in resource development or engineering construction, manifesting itself as a sudden destabilization of...
The MLP network can be trained using backpropagation, which is an iterative algorithm that adjusts the weights and biases of the network to minimize aoss function that measures the difference between the predicted output and the true output. The weights and biases are updated using the gradient ...
The MLP network can be trained using backpropagation, which is an iterative algorithm that adjusts the weights and biases of the network to minimize aoss function that measures the difference between the predicted output and the true output. The weights and biases are updated using the gradient ...
The MLP network can be trained using backpropagation, which is an iterative algorithm that adjusts the weights and biases of the network to minimize aoss function that measures the difference between the predicted output and the true output. The weights and biases are updated using the gradient ...