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

paul swed paulswedb at gmail.com
Wed Jul 10 03:15:09 UTC 2019


I will mention that TI has a neural net chip/eval board now for as I recall
$99.
Like so many things maybe it makes sense.
Regards
Paul
WB8TSL

On Tue, Jul 9, 2019 at 11:02 PM Chase Turner <seapeatea at gmail.com> wrote:

> 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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