Table 12 Weights of the hidden layers of the idealized neural networks.
From: Compressive strength of nano concrete materials under elevated temperatures using machine learning
HL | input1 | input2 | input3 | input4 | output |
|---|---|---|---|---|---|
HL1 | 1.28787 | 1.473525 | 0.882169 | 0.594965 | -0.61589 |
HL2 | 2.771161 | -0.20133 | 0.036026 | -0.41782 | -0.55066 |
HL3 | -1.0649 | 1.601786 | 0.606252 | 1.702427 | -0.19464 |
HL4 | 1.686633 | -1.32254 | -0.06617 | -1.26972 | -0.20214 |
HL5 | 2.087106 | -0.30579 | 1.400389 | -1.24221 | -0.06618 |
HL6 | -0.79002 | 2.296933 | -0.74807 | -0.60435 | -0.19095 |
HL7 | -0.92182 | 1.491511 | 1.346058 | 1.232295 | -0.08834 |
HL8 | 0.783694 | 1.978298 | -1.39767 | 0.03012 | -0.14786 |
HL9 | 2.761453 | 0.811035 | -0.63739 | -0.8931 | 0.015902 |
HL10 | 0.780425 | -2.46868 | -1.32044 | -0.25248 | -0.43989 |
HL11 | -1.00693 | 1.697424 | -2.00961 | 0.900823 | 0.037312 |
HL12 | 1.268772 | 2.409239 | 1.080186 | 0.681254 | -0.12854 |
