Sentence examples for an optimised value from inspiring English sources

The results of the modelling corresponded well with observed values, provided an optimised value was used for the average wet-canopy evaporation rate.

Fig. 4 Variation in mean error for parametric models (filled black circles) and non-parametric models using k-NN with an optimised value of k (open circles) for models that a do not include age and b include age.

Of the non-parametric methods tested (k-most similar neighbour (k-MSN), k-nearest neighbour (k-NN)), k-NN using an optimised value of k-most precisely predicted the 300 Index for 11 of the 14 constructed models.

Given the substantial increases in precision obtained using k-NN with an optimised value for k, further results were compared using this non-parametric method to parametric models for prediction of the 300 Index.

Fig. 2 Variation in root mean square error (RMSE) for parametric models (black open triangles) and non-parametric models using the most similar neighbour with k = 1 (red open circles) and optimised k (pink crosses) and k-nearest neighbour (k-NN) using k = 1 (black filled squares) and k-NN using an optimised value of k (filled cyan circles) for models that a do not include age and b include age.

The effect of sonication time, dosage and initial concentration on dye removal was studied at an optimised pH value.

Moreover, the friction coefficient value decreased, while the normal load necessary to be in the ploughing regime increased with decreasing Λ. Ti TiN multilayer films with an optimised Λ value were deposited on Zr60Ni10Cu20Al10 bulk metallic glass.

The angle (theta) is kept at the optimised value of (51.4^circ).

In this design, the Au coating layer plays a role of protection of "cold" Cu leakage from the Cu substrate and Tl serves to depress the proton beam energy (from 18 MeV to the energy optimised value 13 MeV).

For these three traits, it could also be seen that their MSE gradually increases as number of clusters increases, and the least k value (here, the value is 1) may not be the optimised value because of noise.

Having identified the context-dependent mutation, its rate and κ that best fitted the observational data, the mutation (although not its rate) was fixed and the analysis repeated to find a second context-dependent mutation that in combination with the first and a re-optimised value of κ, created the greatest further reduction in RMS distances.