I have an idea about how to use neural networks but I'm not sure if it is possible or not.
In supervised learning we have a set of attributes labeled with an output value. I can use these set to train my network.
Now I have a network trained to get an output value from an random set of attributes but, can I use this trained network to get the input attributes using only the desired output?
I will have N input values and only 1 output value. I've thought that I can use the weights for that network into a new one with 1 input value and N output values but I'm not sure if I can do that.