Research Article

Conformable Fractional Models of the Stellar Helium Burning via Artificial Neural Networks

Table 1

Training and testing data for the helium burning network.

Training phaseTesting phase

α0.5, 0.6, 0.7, 0.8, 0.9, 10.55, 0.65, 0.75, 0.85, 0.95
Time0–2100 sec (∆t = 3)0–2100 sec (∆t = 3)
Initial abundances of the HBX0 = 0.85, Y0 = 0.15, Z0 = 0, R0 = 0X0 = 0.85, Y0 = 0.15, Z0 = 0, R0 = 0
X0 = 0.90, Y0 = 0.1, Z0 = 0, R0 = 0X0 = 0.90, Y0 = 0.1, Z0 = 0, R0 = 0
X0 = 0.95, Y0 = 0.05, Z0 = 0, R0 = 0X0 = 0.95, Y0 = 0.05, Z0 = 0, R0 = 0
X0 = 1, Y0 = 0, Z0 = 0, R0 = 0X0 = 1, Y0 = 0, Z0 = 0, R0 = 0