1. M. Hiew, G. Green, Beyond Statistics. A Forecasting System That Learns, The Forum, vol. 5, 1992, pp. 1 and 6.
2. Multilayer feedforward networks are universal approximators;Hornik;Neural Networks,1989
3. Data transformation explains the basics of neural networks;Connor;EDN,1988
4. R.G. Donaldson, M. Kamstra, H.Y. Kim, Evaluating alternative models for conditional stock volatility: evidence from international data, Working Paper, University of British Columbia, 1993.
5. Parallel Distributed Processing;Rumelhart,1986