How does NeuroSolutions implement neural networks?
A. NeuroSolutions adheres to the so-called local additive model. Under this model, each component can activate and learn using only its own weights and activations, and the activations of its neighbors. This lends itself very well to object-orientated modeling, since each component can be a separate object that sends and receives messages. This in turn allows for a graphical user interface (GUI) with icon based construction of networks.
