References
Next: About this document
Up:
Parallel Back-Propagation for
Previous: Conclusion and Future
References
- 1
-
E. Pelikán, C. de Groot, D. Würtz.
Power Consumption in West-Bohemia: Improved Forecast with Decorrelating Connectionist Networks.
Neural Network World 2,
pp. 701-712, 1992.
- 2
-
R.G. Hoptroff, M.J. Bramson, T.J. Hall.
Forecasting Economic Turning Points With Neural Nets.
IEEE INNS Int. Joint Conf. on Neural Networks, Seattle, Vol. 1,
pp. I347-I352, 1991.
- 3
-
B. Widrow, D.E. Rumelhart, M.A. Lehr.
Neural Networks: Applications in Industry, Business and Science.
CACM March 1994, Vol. 37, No. 3,
pp. 93-105, 1994.
- 4
-
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.
- 5
-
I. Glöckner.
Monotonic Incrementation of Backpropagation Modules and Network Architectures.
Project paper, University of Osnabrück, Dept. of Computer Linguistic und Artificial Intelligence, 1994.
- 6
-
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.
- 7
-
H.-O. Peitgen, P.H. Richter.
The Beauty of Fractals.
Springer-Verlag, 1986.
Frank M. Thiesing
Mon Dec 19 16:19:41 MET 1994