Abstract
In this paper, we will try to shed light on the usefulness of neural networks by describing an application which combines connectionism and ruled-based systems. In the present fuzzy ruled production systems, propagation of uncertainty coefficients is carried out by means of computational formulae stemming from mathematical models of fuzzy reasoning. But the use of a formula provided by a general abstact model, and not intimately related to the application, can lead us to a fuzzy procedure not reflecting the fuzzy reasoning of the human expert. The connectionist approach proposed here solves this problem of fuzzy inference. An uncertainty propagation rule specific to the application domain is determined by learning from examples of fuzzy inferences.
Preview
Unable to display preview. Download preview PDF.
References
B. Amy, A. Giacometti & A. Gut, “Modèles connexionnistes de l'expertise,ℍ Neuro-Nimes 90, Nimes, France, EC2 Eds., pp 99–119, November 1990.
“DARPA Neural network Study,ℍ AFCEA International Press, 1988.
J. Dayhoff, “Neural Networks Architectures,ℍ Van Nostrand Reinhold, 1990.
N. Giambiasi, R. Lbath & C. Touzet, “Une approche connexionniste pour calculer l'implication floue dans les systèmes à base de règlesℍ, Neuro-NÎmes 89, NÎmes, France, EC2 Eds, November 1989.
P. Handcock, “Data representation in neural nets: an empirical study,ℍ Proc. of the 1988 Connectionist Models Summer School, D. Touretzky & al. Eds, Morgan Kaufmann Publishers, 1988.
D. O. Hebb, The Organization of Behaviour,ℍ New-York: Wiley, 1949.
R. Hecht-Nielsen, “Neurocomputing,ℍ Addison-Wesley, pp. 132, 1989.
K. Karna and D. Breen, “An artificial neural networks tutorial: part 1-Basics,ℍ The International Journal of Neural Networks Research and Applications, Vol. 1, No. 1, pp 4–23, January 1989.
A. Kaufmann, “Nouvelles logiques pour l'Intelligence Artificielleℍ, Ed. Hermès, 1987.
T. Kohonen, “An introduction to neural computingℍ, Neural Networks, Vol. 1, No. 1, pp 3–16, 1988.
Y. Le Cun, “Modèles connexionnistes de l'apprentissage,ℍ Thèse de Doctorat, Université Paris 6, July 1987.
W. S. McCulloch & W. Pitts, “A logical calculus of the ideas immanent in nervous activity,ℍ Bulletin of Mathematical Biophysics 5, pp 115–133, 1943.
M. L. Minsky & S.A. Papert, “Perceptrons,ℍ Expanded Edition, MIT Press, 1988.
C. Suttner & W. Ertel, “Using back-propagation for guiding the search of a theorem prover,ℍ The International Journal of Neural Networks Research and Applications, Vol. 2, No. 1, pp 3–16, March 1991.
E. Shortliffe, “Computer-Based Medical Consultations: MYCINℍ, American Elsevier, N.Y., 1976.
C. Touzet, SACREN: Système d'Aide au Choix d'un Réseau de Neurones, Rapport final du contrat ANVAR nℴ A8801006, juillet 1989.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1992 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Touzet, C., Giambiasi, N. (1992). Application of connectionist models to fuzzy inference systems. In: Fronhöfer, B., Wrightson, G. (eds) Parallelization in Inference Systems. Lecture Notes in Computer Science, vol 590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55425-4_16
Download citation
DOI: https://doi.org/10.1007/3-540-55425-4_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55425-7
Online ISBN: 978-3-540-47066-3
eBook Packages: Springer Book Archive