Machine learning in forcasting nonlinear systems

Ovaj rad se bavi izradom ekonomskih predviđanja cijene na temelju podataka iz prošlosti putem umjetnih neuronskih mreža. Pojašnjeni su osnovni pojmovi teorije iz područja strojnog učenja, najviše umjetnih neuronskih mreža i ekonomije. Rad obuhvaća izradu vlastite umjetne neuronske mreže i testiranja s pravim povijesnim podacima s burze uz dokumentiran proces implementacije.The paper deals with the description of the technologies that were needed to implement simple financial forecasting system that uses artificial neural networks. Theories and basic terms needed for understanding this paper from fields of economics, machine learning, mostly neural networks are explained. The paper involves projecting own artificial neural network model that uses real historical dana for making financial forecast. Process of implementing artificial neural network is documented and explained