NN Data Fitting - minimum

I did the data fitting with neural networks and I got the function that looks very nice, i.e. there is a unique minimum and maximum on a given domain. How can I find the minimum and maximum?

EDIT: Added questions:

How would it be possible to find the x-axis and y-axis intercepts, i.e. f(x) = 0 and f(0)?

Furthermore, I want to estimate these data with the following model y = Dsin[C cos{(1 − E)Bx + E cos(Bx + 1)}]

How can I estimate parameters B, C, D and E (not constants) using NNs? Or it would be better to use Global Optimisation Algorithms, for instance GA?

Answer 1

[Greg Heath]

See the help and doc documentation for

    1. min
    2. max
    3. minmax

Hope this helps.

Thank you for formally accepting my answer

Greg

Answer 2

[LuC]

Thank you.

How would it be possible to find the x-axis and y-axis intercepts, i.e. f(x) = 0 and f(0)?

Furthermore, I want to estimate these data with the following model y = Dsin[C cos{(1 − E)Bx + E cos(Bx + 1)}]

How can I estimate parameters B, C, D and E (not constants) using NNs? Or it would be better to use Global Optimisation Algorithms such as GA?

[Greg Heath]

I do not see a NN being appropriate for those type of tasks.

Greg

[LuC]

So I should try with the Global Optimisation Tools?