[time-nuts] Neural net to control oven temperature ?

[Chase Turner]

Hi Glen,

This is actually something I know a little about.

Neural nets are most useful for feature selection, that is, finding the
important x that is a function of y, in a very large sea of x variables. In
this case, we already know what's important, which is temperature
stability. So, a neural net would be a bit much when we already know what
feature is important for function. Additionally, unless I'm mistaken, oven
control is probably a linear relationship of some sort or another, and
neural nets are much better suited for examining and revealing insights
about non-linear data.

If you have a method by which you can collect the necessary data that has a
bearing on the oven functionality, you'd probably be better off training a
logistic classifier, and using it instead. That said, both methods would be
overkill, imo- I'd use a PID instead.

Best,
Chase

On Tue, Jul 9, 2019 at 10:00 PM Glen English VK1XX <
glenlist at pacificmedia.com.au> wrote:

> Has anyone tried to use a Neural net to control oven tmep, rather than
> the ye olde PID ?
>
> IE the algorithm learns from previous beheviour and successfully
> predicts behaviour (or not).
>
> I'm sure there are a few out there proficient with machine learning
> algorithms.
>
> Might make a good masters thesis I bet.
>
> Given that oven control based on inputs and whatever is not random,
> unlike say flicker etc.
>
> glen
>
>
>
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