29.5 REFERENCES
[1] Devore, J. L.,
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Monterey, California, USA, 1982.
[2] Fu, K. S., R. C. Gonzalez, and C. S. G. Lee,
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McGraw-Hill Book Company, New York, NY, USA, 1987.
[3] Guyon, I.,
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(to appear).
[4] Guyon, I., I. Poujard, L. Personnaz, G. Dreyfus, J. Denker, Y. LeCun,
Comparing Different Neural
Architectures for Classifying Handwritten Digits. Proc. of Intern. Jt. Conf. on Neural Networks
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[5] Josin, G.,
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Proceedings nEuro 88 - First European Conference on Neural Networks, Paris, France, June 1988.
[6] Josin, G.,
Neural-Space Generalization of a Topological Transformation. Biological Cybernetics,
vol.59, pp 283 - 290, 1988.
[7] Josin, G., D. Charney, and D. White,
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[8] Lippman, R. P.,
An Introduction to Computing with Neural Nets. IEEE ASSP Magazine, vol. 4
no. 2, pp 4 - 22, April 1987.
[9] Minsky, M. L., and Seymour A. Papert,
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[10]
,
Neural Networks. Byte, pp 216 - 245, August 1989.
[11] Psaltis, D., A. Sideris, A.Yamamura,
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[12] Ranky, P. G., and C. Y. Ho,
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IFS (Publications) Ltd., UK, 1985.
[13] Reber, W. L., and John Lyman,
An Artificial Neural System Design For the Rotation and Scale
Invariant Pattern Recognition. IEEE First Intern. Conf. on Neural Networks, vol. 4, pp 277 - 283,
[14] Rumelhart, D. E., and James L. McClelland,
Parallel Distributed Processing. vol. 1, MIT Press,
[15] Tourassis, V. D., and Marcelo H. Ang, Jr.,
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IEEE Trans. on Robotics and Automation, vol. 5, no. 5, pp 555 - 568, October 1989.
[16] Wasserman, P. D.,
Neural Computing - Theory and Practice. Van Nostrand Reinhold, New York,
