Neural Net Component almost finished, Emphasis on Bayesian Net.

Things I have left to do is finish up making the function calls to construct the net scalable, reading in properties from a config file. I also need to finish the function call that loads training patterns from another file. Last of all I need to debugging the neural net back propagation algorithm, and write a component that acts as a medium between the ANN and the Bayesian network.

In terms of implementing the Bayesian net, I'm currently working on the topology of the Bayesian net and constructing it. An idea would be to read this from the same config file the neural net reads from. Ideally all of the code should be re-usable so that Bayesian nets can be constructed use that is not constricted to the goal I have in mind for this project.