How to return the original (original) form of normalized data?

Question

Neural networks

There is a data normalization formula:

y = (((x - xMin) * (dMax - dMin)) / (xMax - xMin)) + dMin;

link to an article about data normalization
where x is the value to be normalized, for example 5
xMin is the minimum allowable value of x, for example 2
xMax is the maximum allowable value of x, for example 25
dMin and dMax is the interval to which the value of x will be reduced, for example 0, 1
And can you tell me the formula how to bring the already normalized value back to its original form?

Answer 1

I thought everything was much more complicated, but it turned out that this is mathematics not even in grades 7-8, but somewhere around 5-6, here are examples .
It's a shame.
Formula

x = (((y - dMin) * (xMax  - xMin)) / (dMax - dMin)) + xMin;

Answer 2

Elementary mathematics (class seventh or eighth) tells us that if xMin, xMax, dMin and dMax are known, then it is possible to restore x from the value of y. The formula is obtained in an elementary way.
If not (well, for example, you "lost" xMin and xMax), then recovery is impossible.