I recall Bob Pease in one of his many "What's all this ...stuff" columns made a small oven and PID temperature controller that he claimed kept the temperature within 0.001 degrees or something like that. This would make machine learning severe overkill. Temp control is slow enough (and generates/uses a small enough data set) that for ML or any other method, an ARM or even AVR microcontroller might be enough to do it.
I did a quick Google search, this column makes no such claim (it's about temp controllers in general), but he surely wrote several times about PID and/or temperature control. He has a lot of hints and ideas in this column, like having different sensors for the P and I, placed strategically for better operation: https://www.electronicdesign.com/analog/whats-all-p-i-d-stuff-anyhow On Wed, Jul 10, 2019 at 12:05 AM paul swed <paulsw...@gmail.com> wrote: > > 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 <seapea...@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 < > > glenl...@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 > > > > > > > > > > > > _______________________________________________ > > > time-nuts mailing list -- time-nuts@lists.febo.com > > > To unsubscribe, go to > > > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > > > and follow the instructions there. > > > > > _______________________________________________ > > time-nuts mailing list -- time-nuts@lists.febo.com > > To unsubscribe, go to > > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > > and follow the instructions there. > > > _______________________________________________ > time-nuts mailing list -- time-nuts@lists.febo.com > To unsubscribe, go to > http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com > and follow the instructions there. _______________________________________________ time-nuts mailing list -- time-nuts@lists.febo.com To unsubscribe, go to http://lists.febo.com/mailman/listinfo/time-nuts_lists.febo.com and follow the instructions there.