i'm very new to 'neural toolbox' in matlab. i must learn
something. i've got some data from 2 sets of experiments
with some bio-mass tank. the task is to put datas into
"pre" neural network to see if it can train or create
i've got INPUTS of tank:
-one vector of 40 elements [a b c ...] (it's volume of air
needed in combustion process)
-one vector of 1 element [x] (it's a weight in kilos of
'ive got OUTPUTS of tank:
-two not-similar vectors of 40 elements [A B C...] (one is
temperature of fumes, other is heat energy produced)
my very simple question is:
HOW to mount any very simple neural net from this datas ?
and then observe simulations ?