Hi, I am trying to write an essay to answer how 2 neural networks can be integrated to solve a problem such as: (Pick Up Gun) AND (Aim) THEN Fire Assuming I have determined a neural network for aiming, what are the methods I can use to solve the above problems? Can I use 2 networks to solve this problems or one will do? Please help. Thanks.

Uh... why would those 3 things be in the same logical statement in the first place? Wouldn't it be:

Action: Pick Up Gun
Action: Aim
Action: Fire

Of course, using a NN for those seems kinda silly in the first place. I just simply have no idea where you are headed with this. Are you wanting to have a NN that learns that those three things should go in sequence or something?

your example doesn't make any sense. Neural nets can bet trained perform a logical and on input data, not "and" in the english sense of the word.

If you merge two NN's together you really just have one bigger NN anyway.

I can't see why'd you want to use NN's for this though.

Can I make use of a single perceptron where the input for the Aim is gathered from the output of another NN?
The NN for the Aim is based on mouse movement and target movement.

Quote: Original post by InnocuousFox
Uh... why would those 3 things be in the same logical statement in the first place? Wouldn't it be:

Action: Pick Up Gun
Action: Aim
Action: Fire

Of course, using a NN for those seems kinda silly in the first place. I just simply have no idea where you are headed with this. Are you wanting to have a NN that learns that those three things should go in sequence or something?

I am actually given this sort of question and I need to find a way or solution to solve the problem.
Basically before this question, I am given a set of data of mouse and target movement.
I need to analyse results by importing these data into MATLAB nntool.
So the question is what method can I use to solve the problem above using the NN developed from MATLAB?