Exact(8)
In goal programming formulation with logarithmic deviational variables, weights (priorities) are given with the deviational variable.
In addition, GPNN had been used to optimize the variables, weights, and connectivity of the network.
In order to optimize the input variables, weights, and network structures simultaneously, evolutionary computing approaches have been proposed [ 31, 36].
For each child, the detection score was calculated as the sum of the variables' weights that determined the detection algorithm.
Thus, the final solution of GENN is the neural network with optimized input variables, weights, and network structure.
GENN is an evolutionary computing approach to evolve neural networks for predicting the clinical outcomes of interest by optimizing the input variables, weights, and network structure simultaneously.
Similar(52)
Biological variables: weight, height, body mass index, waist circumference, blood pressure.
**The number do not add to the total due to missing BMI variables (weight or height).
In addition to baseline variables, process variables (weight, diary adherence and frequency of GP-visits) were recorded at 12 weeks.
We observed statistically significant associations of the polymorphism with anthropometric variables (weight, BMI and waist circumference) at baseline.
However, multiple regression analysis of F shows that when both sex and body weight are included as independent variables, weight is significant (p = 0.03) but sex is not.
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