Re: 1-Wire network wiring

["Mal Lansell" <mal@xxxxxxxxxxx>]

Neural nets can be very difficult to set up and train, because it's
hard to tell if it is learning the right thing.

A classic example is a camera watching a train platform to see if it
is getting too crowded.  It seemed to be working but would fail
occasionally - it turned out it had "learned" not whether the
platform was full, but whether it could see a bin in the corner
(which was always blocked from view by crowds, but was also very
occasionally blocked by a lone passenger).

Mal


--- In ukha_d@xxxxxxx, "Chris Hunter" <cjhunter@...> wrote:
>
> The obvious way to (try to) get it to work is using neural net
software (using it to recognise pattern, programming it via a
teaching & learning process, through giving it lots of examples) ...
using other sensors as well (micropones, PIRs, etc) ... wonder if
anyone has tried something like this ?
>
> Chris
>
> ('E61 / T-Mobile W'n'W)
>
>
> - original message -
> Subject:	[ukha_d] Re: 1-Wire network wiring
> From:	"JonS" <semi.jon@...>
> Date:		26/10/2007 10:27 am
>
> --- In ukha_d@xxxxxxx, Chris Hunter <cjhunter@> wrote:
> >
> > sorry, I was really just exploring the idea of lots of temp'
> > sensors ... .   Did you see Nigel's post ... interesting ! ?
> >
>
> Yep, and I agree interesting things can be gleaned by observation,
the
> open door to the kitchen correlates well with a dip in kitchen
temp
> here.  But if you have door sensors and relays on the lights the
temp
> data is interesting but I think very hard to use as an indicator
of
> other information in an automated fashion.  Not wishing to put you
off
> if you can see a way to make it work but it seems a hard way of
going
> about it, but then I have not played with the fuzzy logic module
in
> Cortex - still getting to grips with the basics.
>
> Jon
>