while a reduction in error and complexity as well as an increase in the network's performance ability are the properties that differentiate SVM with ANN. In many engineering areas like rainfall prediction, the SVM's kernel function has been applied and it can be divided into non-linear support...
For this estimation, response surface method- based quadratic regression models were obtained, and they determined the optimum cutting conditions by different cutting speeds, feed rate, cutting edge angles, and axial- radial-tangential vibration inputs. In the study, they obtain...
A Quadratic model has been implemented for investigated the surface roughness for CBN-I, CBN-II and CBN-III inserts. Table 5, Table 6 and Table 7 presents all the significant model terms in the respective table. Table 5 shows the ANOVA results for CBN-I insert, in which the model is fo...
Therefore, Y is the response of the model (resultant machining force), a0 represents the fixed term, Xi are the input variables (cutting speed, feed, and depth of cut) and bi, bij, bii are the vectors that contain the regression coefficients (linear, quadratic, and cross-product, ...
results of DEFORM, the results obtained by substituting the temperature measured by the thermocouple into the formula and the error of the simulation results relative to the experimental results is 7.51%, which was within the acceptable range. In conclusion, the fitted quadratic function is more ...
Then it assigns weights from 1 to 4 to the objective functions in a vector form ascendingly based on the preference of the objective function. This led to our suggesting three case scenarios, as shown in Figure 15. For example, Case 1 is sorting the preference of the objective functions ...