where w is a weighting coefficient of a certain model.
κ is the regularization weighting coefficient to avoid overfitting.
Finally, multi-objective optimization (MOO) was applied to obtain a compromised result of three desirable responses by weighting coefficient methodology.
The larger the weighting coefficient of a single factor, the greater the impact of the single factor on fault sealing.
Previous studies utilized linear combination (LC) and linear combination with a correction bias (LCB) as simple mapping functions that only apply one weighting coefficient on each model.
At this time, a weighting coefficient based on the retardation method is applied to convert the cost functions calculated by the recurrence formulas into a monotonically decreasing sequence.
If any are found (line 2), it updates the weighting coefficient w∈[0,1], representing the weight given to predicted and observed utilizations (line 3).
Here, is the weighting coefficient ranging in, which can be carefully used to adjust relative preference between missed probability and detection probability.
An integrated statistical design, which incorporated single factor design, response surface methodology (RS M and weighting coefficient method, was used to determine the optimum hydrolysis conditions leading to maximum biomass, ethanol concentration and starch utilization ratio.
For instance, the weighting coefficient of the point ((i+1,j)) is given by (a_{3}/a ), that of the point ((i-1,j)) by (a_{1}/a ), and so on.
In the above equations, μ m,p is a weighting coefficient based on the retardation method and has a value between 0 and 1 to convert the cost functions calculated by recurrence formulas into a monotonically decreasing sequence [14 16].
