Extracting features for the linguistic variables of fuzzy rules using hidden Markov model

Extracting features for the linguistic variables of fuzzy rules using hidden Markov model

In classifying handwritten characters, the stages prior to the classification phase play a role as major as the classification itself. This research work will be classifying the characters using a syntactical classification method namely fuzzy logic but will use the statistical method of Hidden Mark...

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Bibliographic Details
Main Authors: Suliman, Azizah, Sulaiman, Md. Nasir, Othman, Mohamed, O. K. Rahmat, Rahmita Wirza
Format: Conference or Workshop Item
Language:English
Published: American Institute of Physics 2007
Online Access:http://psasir.upm.edu.my/id/eprint/57313/
http://psasir.upm.edu.my/id/eprint/57313/1/Extracting%20features%20for%20the%20linguistic%20variables%20of%20fuzzy%20rules%20using%20hidden%20Markov%20model.pdf

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