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Hi guys, I'd like to ask for a tip. I have a experimental dataset $(t_i, \mathbf{x}_i)$, $i\in{1,\ldots,N},$ that is modeled through a autonomous system of the form $\dot{\mathbf{x}}(t)=f(\mathbf{x}(t))$, where $f$ is an unknown function. So, I'd like to use DeepXDE to both learn $f$, through a neural network, and then solve the PINN problem for $\mathbf{x}(t)$. I don't know how to learn both things all at once with DeepXDE. Any suggestions? I appreciate.
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Hi guys, I'd like to ask for a tip. I have a experimental dataset$(t_i, \mathbf{x}_i)$ , $i\in{1,\ldots,N},$ that is modeled through a autonomous system of the form $\dot{\mathbf{x}}(t)=f(\mathbf{x}(t))$ , where $f$ is an unknown function. So, I'd like to use DeepXDE to both learn $f$ , through a neural network, and then solve the PINN problem for $\mathbf{x}(t)$ . I don't know how to learn both things all at once with DeepXDE. Any suggestions? I appreciate.
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