Active Foreground Neural Network
Research
A neural network which bridges the computation, learning, and applications' implementation gap across conventional neural networks and cognitive learning processes with dual-band training and application layers.
AFNN has application where quick learning is paramount while some precision can be sacrificed. Error reduces rapidly and achieves conventional error bandwidth with increasing number of iterations.
AFNN Engine titled MyND wraps AFNN into an ML tool that integrates AFNN into real life applications. MyND is currently being successfully applied in Spectrix game streaming application, Mossaik XDR photo editor and the graphics processing Freznel engine.
ISSN - 76-1100
ISSN electronic - 1876-1119
ISBN - 978-981-13-6771-7
ISBN eBook - 978-981-13-6772-4