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supervised working

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Nicola Demo
2024-08-08 16:19:52 +02:00
parent 5245a0b68c
commit 9d9c2aa23e
61 changed files with 375 additions and 262 deletions
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tutorials/tutorial7/tutorial.py vendored
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@@ -51,7 +51,7 @@ from pina.model import FeedForward
from pina.equation import Equation, FixedValue
from pina import Condition, Trainer
from pina.solvers import PINN
from pina.geometry import CartesianDomain
from pina.domain import CartesianDomain
# Then, we import the pre-saved data, for ($\mu_1$, $\mu_2$)=($0.5$, $0.5$). These two values are the optimal parameters that we want to find through the neural network training. In particular, we import the `input_points`(the spatial coordinates), and the `output_points` (the corresponding $u$ values evaluated at the `input_points`).