Machine Learning and Statistical Methods for Studying Voids and Photothermal Effects of a Semiconductor Rotational Medium with Thermal Relaxation Time

Figure 7

The component N as a function of (x) with a change of rotation and photothermal. (a) The real part of the horizontal displacement component N as a function of distance (x). (b) The imaginary part of the horizontal displacement component N as a function of distance (x). (c) The prediction of the real part of the horizontal displacement component N using ANN. The maximum predicted value is predicted to range between −0.02 and 1.49. (d) The prediction of the imaginary part of the horizontal displacement component N using ANN is made. The maximum predicted value is a range of between 0.01 and 0.07. (e) The prediction of the real part of the horizontal displacement component N using cubic spline is made. The maximum predicted value is range of between 0.01818 and 0.09107. (f) The prediction of the imaginary part of the horizontal displacement component N using cubic spline is made. The maximum predicted value ranges between 0.00294 and 0.56346.

(a)

(b)

(c)

(d)

(e)

(f)