Preview
Unable to display preview. Download preview PDF.
References
J.L. McClelland and D.E. Rumelhart (1988) Training hidden units: the Generalized Delta Rule. Chapter 5 in Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises. MIT Press, Cambridge, MA.
J.L. Elman (1988) Finding structure in time. CRL Technical Report 8801. Center for research in Language, University of California, San Diego.
J. Henseler and P.J. Braspenning (1990) Training complex multi-layer neural networks, Proceedings of the Latvian Signal Processing International Conference, Vol. 2, Riga, 301–305.
S. Kirckpatrick, C.D. Gelatt and V. Torre (1983) Optimization by simulated annealing. Science 220, 671–680.
Y. Le Cun (1985) A Learning Procedure for Assymetric Threshold Network. Proceedings of Cognitiva '85. (In French), Paris. 599–604.
R.P. Lippmann (1987) An introduction to computing with neural nets. IEEE ASSP Magazine 3 (4), 4–22.
M.L. Minsky en S.A. Papert (1969, 1988) Perceptrons: An Introduction to Computational Geometry. The MIT Press, Cambridge, MA.
D.B. Parker (1985) Learning-Logic. TR-47, MIT, Center for Computational Research in Economics and Management Science. Cambridge, MA.
F. Rosenblatt (1958) The Perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review 65, 386–408.
F. Rosenblatt (1962) Principles of Neurodynamics. Spartan, New York.
D.E. Rumelhart, G.E. Hinton and R.J. Williams (1986) Learning internal representations by error propagation. Chapter 8 in Parallel Distributed Processing: Foundations. Vol. 1, MIT Press, Cambridge, MA, 318–362.
F.M. Silva and L.B. Almeida (1990) Acceleration techniques for the Backpropagation algorithm. Lecture Notes in Computer Science: Neural Networks 412 (Eds. L.B. Almeida and C.J. Wellekens), 110–119.
T. Tollenaere (1990) SuperSAB, fast adaptive Back Propagation with good scaling properties. Neural Networks 3 (5), 561–573, Pergamon-Press.
P. Werbos (1974) Beyond Regressions New Tools for Prediction and Analysis in the Behavioral Sciences. M. Sc. thesis, Applied Mathematics, Harvard University, Boston, MA.
B. Widrow and M.E. Hoff (1960) Adaptive switching circuits. Record of the 1960 IRE WESCON Convention, New York, IRE, 96–104.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Henseler, J. (1995). Back Propagation. In: Braspenning, P.J., Thuijsman, F., Weijters, A.J.M.M. (eds) Artificial Neural Networks. Lecture Notes in Computer Science, vol 931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027022
Download citation
DOI: https://doi.org/10.1007/BFb0027022
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59488-8
Online ISBN: 978-3-540-49283-2
eBook Packages: Springer Book Archive