Negative Feedback Network For Financial Prediction

摘要

An unsupervised neural based approach to financial forecasting is presented in this paper: its performance is compared with that from a statistical technique and two other standard neural network techniques. We show that the negative feedback network outperforms multilayer perceptrons. radial basis function network and a standard ARIMA model.