Sentence examples for optimised value of from inspiring English sources

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

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.

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 implemented approach is coupling the IDA ICE 3.0 building performance simulation program with the GenOpt 2.0 generic optimisation program to find optimised values of five selected design variables in the building construction and HVAC system.

The optimised values of probabilistic parameters were also used for the other two scenarios (Figure 6b,c).

Using the model, optimised values of 2.6% pulp density, initial pH of 2.0 and 63 μm particle size resulted in a nickel recovery of 79.8%.

The optimised values of the specific rate of breakage, Si for the three liner profiles tested were 0.381, 0.287 and 0.365 min−1, respectively, which clearly indicates the benefit of cone-lifters.

Results were analysed using three-dimensional response surface plot, and the optimised values of carbon and nitrogen concentration of 3.30% (w/v) and 0.13% (w/v) were obtained, respectively.

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.

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.