Quadric neural network for the prediction of financial time series data

A quadric neural network (QNN) is designed for financial times series data prediction which is basically derived from Gabor's theory of communication and cybernetics. The QNN architecture is useful technique for prediction due to non-linear term. The simulation results are carried out on real financial time series data, which indicate better performance minimum values in the input data set.<<ETX>>