Abstract
The problem of extracting information issued from several sources of information turns out to be a very important issue in intelligent systems. This problem is always encountered in multiexpert systems.
In the field of remote sensing and geographic information system, this question is well known. Satellite images, geographic and geologic data, and expert knowledge can appear independent but, when pooled together, they can give more informations about a same object or a same problem than used separately. This data may be very heterogeneous(from simple numeric items to complex symbolic information).
In this paper we propose a common scheme to combine numeric and symbolic information by means of fuzzy neural networks techniques. As an application, we describe a method for complex geographical information extraction based on standard geographical information and expert symbolic knowledge.
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References & bibliography
DESACHY J., Debord P., Castan S. “An expert system for satellite image interpretation and GIS based problem solving” 16 th international congress of ISPRS Kyoto (1988)
Desachy J “I.C.A.R.E.: An expert system for automatic mapping from satellite imagery” in NATO-ASI series vol F6 “Mapping and spatial modelling for navigation” edited by L.F. Pau Springer verlag Berlin heidelberg (1990)
GALLANT S.I “Connectionist expert systems”, communications of the ACM, feb 1988 vol 31 n 2 pp 152–169
RUMELHART D.E, Hinton G.E, Williams R.j “learning internal representation by error propagation”PDP, vol 1(ed. J.L McClelland, D.E Rumelhart), MIT Press, 1986, 318–364.
SANCHEZ Elie “Fuzzy connectionist expert system”Proc of ICFL & NN (Iuzuka, Japan, July 1990) pp. 31–35.
WITHBREAD P.J, R.E BOGNER” “Neural networks for the recognition of multi-spectral texture” IEEE International conference on image processing ICIP'89 Singapore 5–8 septembre 1989.
ZAHZAH E.H., DESACHY J., ZEHANA M.“A fuzzy connectionist knowledge based image interpretation system” 2nd International conference on fuzzy logic and neural networks-Iizuka'92, July 92, Fukuoka Japan.
ZAHZAH E-H “Contribution a la représentation des connaissances et à leur utilisation pour l'interprétation des images satellite”, Thèse de l'UPS Toulouse Septembre 1992.
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© 1993 Springer-Verlag Berlin Heidelberg
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Zahzah, E.H., Desachy, J. (1993). Symbolic and numeric data management in a geographical information system: A fuzzy neural network approach. In: Klement, E.P., Slany, W. (eds) Fuzzy Logic in Artificial Intelligence. FLAI 1993. Lecture Notes in Computer Science, vol 695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56920-0_10
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DOI: https://doi.org/10.1007/3-540-56920-0_10
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