'How to find the function's equation using Neural Network (Jupyter notebook)
I'm looking for some guidance as apparently there isn't too much information about it. I would like to know, if there's any documentation available to extract an function's equation from a given a dataset, or if someone can guide me how to obtain the equation to get all the points from a given data.
I know there are 2 methods:
- Universal Approximation Universal Approximation.
- Regression using Neural Networks
In both cases, it seems that doesn't fits what I need do it. Basically I have this function:
In which I would like to obtain an equation that satisfies this function F(x) = ?
Reducing the noise, I got the following graph:
My question is: is it possible to obtain a function through the graph only?
The input data is just a velocity vector in kilometers per hour.
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