Figure 8 depicts the experimental values of surface roughness and the corresponding calculated values of surface roughness by the RBF network for the test data used.
In Fig. 5 the experimental values of surface roughness and the corresponding calculated values of surface roughness by the neural network for the test data are shown.
Multiple regression equations are formulated for estimating predicted values of surface roughness and cutting forces.
In the section considering case studies, the values of surface chloride concentration are detailed.
The calculated values of surface roughness and the grain sizes are summarized in Table?1.
The measured values of surface roughness and computed MRR are listed in Table 3.
Moreover, the proposed model demonstrates that these oscillations may occur for realistic values of surface heterogeneity.
In this paper values of surface enthalpies and surface Gibbs free energies are given in order to characterize subsurface minerals.
The purified samples, however, reached their stable values of surface area and pore volumes within four to seven months.
Finally, the validated method was used to determine the COD values of surface water, reclaimed water and wastewater.
Usual values of surface free energies corresponding to chain-folded nuclei lead to theoretical results far from experimental measurements.
