So I've been working on NNets for about ten years that can store and retrieve input sets with no loss. Pretty simple so I was wondering who else has done this and what is the model called? I want to write some papers with the more advanced things I've done. Such as multi-sensory constructs, stitched base wrapped input sets that form tube structures, temporal constructs, multidimensional constructs, and other fun stuff. I want to recognize others who have figured it out before me though and see what they have done so I can focus on the areas that are unexplored if any.
pic related, very basic 1D input sets read in and retrieved. I didn't include charging it or weighting but I can if that helps narrow it down. Probably most notable feature is the strict leg order I think. 1D = two dendrites, left and right.
pic related, very basic 1D input sets read in and retrieved. I didn't include charging it or weighting but I can if that helps narrow it down. Probably most notable feature is the strict leg order I think. 1D = two dendrites, left and right.