i'm trying to train a nn with following training data
Pos fan speed power temp 1 60 5 31 2 3 . . 120 1 100 5 41 2 3 . . . 120
the positions go from 1-120
for each i have diff temperature reading for 5,10,15...35 kw power and 60,100,120 fan speed.
so my inputs are position, fan speed, power
output is temperature
I have around 2500 data rows for training.
will this train my network as a function of the position?
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You will not be able to give the NN just position and have it output temperature or some kind of temperature profile. You should, though, be able to input position, fan-speed, and power, and have it predict the temperature.
The NNTBX default technique for regression using FITNET or FEEDFORWARDNET, is to use 70% of the data for estimating weights, 15% of the data for validation stopping during training and the remaining nontraining data for obtaining an unbiased estimate of performance.
It's hard to say what you did wrong without more details. Can you post the commands?