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Abstract

Abstract structures and generalisations are useful in order to solve common practical problems in A.I. Frames are structures representing stereotyped situations and each frame contains different types of information. A metric space structure is introduced in the set of frames. If A(r) is a reference frame containing information about a reference subject R, and Ac(i) (i=1,...,N) a number N of "candidate frames" C(i), representing subjects similar but not equal to R, a classical problem is the selection of the frame C(j) representing a subject, the most similar to subject R. A procedure which can do this will be a Neural Network Classifier.

Additional information

Authors: CARDENOSA J, Facultad de Informatica, Universidad de Madrid, Madrid (ES);CASTELLANOS J, Facultad de Informatica, Universidad de Madrid, Madrid (ES);GARCIA DEL REAL J, Facultad de Informatica, Universidad de Madrid, Madrid (ES);PANETSOS F, JRC Ispra (IT)
Bibliographic Reference: Paper presented: EURASIP Workshop on Neural Networks, Sesimbra (PT), February 15-17, 1990
Availability: Available from (1) as Paper EN 35200 ORA
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