Application of Holographic Neural Network for Stock Price Prediction

Abstract

Neural Networks are models of biological neural structure, so the scientist, engineers & mathematicians etc. try to make an intellectual abstraction with the help of neural network which would enable a computer work in a similar fashion in which the human brain works. Here we use a specific type of neural network called “Holographic Neural Network” (HNN), for stock price prediction. HNN takes in the input through Stimulus Vector and gives output through Response Vector. Each element in HNN is associated with a confidence & magnitude value, for this the input given should be in polar form of complex numbers. The results predicted by HNN are compared to results predicted by Regression method.