Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Sign In with Facebook Sign In with Google Sign In with OpenID

Categories

We have migrated to a new platform! Please note that you will need to reset your password to log in (your credentials are still in-tact though). Please contact lee@programmersheaven.com if you have questions.
Welcome to the new platform of Programmer's Heaven! We apologize for the inconvenience caused, if you visited us from a broken link of the previous version. The main reason to move to a new platform is to provide more effective and collaborative experience to you all. Please feel free to experience the new platform and use its exciting features. Contact us for any issue that you need to get clarified. We are more than happy to help you.

Choosing the appropiate Network

roldyroldy Posts: 11Member
I've decided to try my hand at programming neural networks since I'm in an adaptive critic course. The thing that I want to attempt is a solver for the game located here [link=http://moh97.us/flow/][/link]. You basically have to connect like-colored circles together without crossing over any paths and while filling up all the empty squares with a path segment. I've been reading up on Hopfield Networks and I think this is the right network to use since I am essentially going to turn on or off a node (square) depending on these conditions to check:

1) Is square already filled?
2) Is there a preceding square, either to the left or right or above and below, that has the same color?
3) Is this square located either to the left or right or above and below the preceding square?

Those are the checks that I can think of thus far.
I'm trying to start with psuedo-code to try and help me. The problem I am having is figuring out how to run through all nodes, n^2 - c (where n = number of square on an edge and c = number of colors), while keeping track of the state of each node. I'm thinking that I will have a (n^2 - c) x (n^2 - c) x c matrix. In each dimension c (1,2,3,...) I will have a summation of the penalties or rewards for each check 1,2,3. Am I correct in this logic?
Sign In or Register to comment.