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D.E. Rumelhart, G.E. Hinton, R.J. Williams. Learning internal representations by error propagation. In D.E. Rumelhart and J.L. McClelland (Eds.), Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, pp. 318-362, MIT 1987.

D.E. Rumelhart, B. Widrow, M.A. Lehr. The Basic Ideas in Neural Networks. Communications of the ACM Vol.37, No.3, pp. 87-92, March 1994.

Z. Tang, P.A. Fishwick. Feed-forward Neural Nets as Model for Time Series Forecasting. TR91-008, University of Florida, 1991.

V.R. Vemuri, R.D. Rogers. Artificial Neural Networks -- Forecasting Time Series. IEEE Computer Society Press 5120-05, 1994.

P.C. McCluskey. Feedforward and Recurrent Neural Networks and Genetic Programs for Stock Market and Time Series Forecasting. Master thesis CS-93-36, Department of Computer Science, Brown University, Providence, Rhode Island, September 1993.

A. Petrowski. A pipelined implementation of the back-propagation algorithm on a parallel machine. Artificial Neural Networks, pp. 539-544, Elsevier Science Publishers B.V. (North-Holland), 1991.

N. Morgan, J. Beck, P. Kohn, J. Bilmes, E. Allman, J. Beer. The Ring Array Processor: A Multiprocessor Peripheral for Connectionist Applications. Journal of Parallel and Distributed Computing 14, pp. 248-259, Academic Press Inc., 1992.

H. Yoon, J.H. Nang, S.R. Maeng. A distributed backpropagation algorithm of neural networks on distributed-memory multiprocessors. Proceedings of the 3rd symposium on the Frontiers of Massively Parallel Computation, pp. 358-363, IEEE 1990.

I. Glöckner. Monotonic incrementation of backpropagation networks. Proceedings of the International Conference on Artificial Neural Networks (ICANN93), 1993.

Fri Jun 30 13:29:58 MET DST 1995