I have developed a program that inputs the minimum requirements for the
design of mechanical equipment, the program then outputs a 3D model with
bill of materials with masses, qties, areas etc for estimating purposes.
However the time laps is relatively long and computationally expensive.
So I am investigating the use of Machine Learning in order to determine the
outputs faster and less expensive.
I have managed to do a representation using simple linear regression however
I have only managed to output a single variable at a time, so I have to run
multiple training sets in order to get multiple outputs and I believe that
with NN I would be able to do a single learning algorithm to determine
At this stage any type of help would be greatly appreciated as I have no
idea of which direction to go