DocumentCode
3059146
Title
Fuzzy learning in vicissitudinous environments
Author
Dasarathy, Belur V.
Author_Institution
Dynetics Inc., Huntsville, AL, USA
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
500
Lastpage
503
Abstract
The concepts of fuzzy learning and learning in vicissitudinous environments are synergistically combined to develop a new fuzzy logic based approach to the problem of pattern recognition in variably supervised environments. The fuzziness imposed on the recognition process by the varying imperfectness in the supervision is modeled with fuzzy membership functions. The learning under the environment is simultaneously accompanied by learning about the vicissitudinous nature of the environment and the fuzzy membership functions
Keywords
fuzzy logic; fuzzy set theory; learning (artificial intelligence); pattern recognition; fuzzy learning; fuzzy logic; fuzzy membership functions; pattern recognition; variably supervised environments; vicissitudinous environments; Fuzzy logic; Object detection; Pattern recognition; Recursive estimation; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2915-0
Type
conf
DOI
10.1109/ICPR.1992.201827
Filename
201827
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