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Journal of Applied Sciences
  Year: 2010 | Volume: 10 | Issue: 10 | Page No.: 848-851
DOI: 10.3923/jas.2010.848.851
 
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Arabic Vowels Fuzzy Neural Network Recognition
A. Taleb and A. Benyettou

Abstract:
In this study, We propose a fuzzy neural system containing inferred rules which are modelled separately by a three layer perceptron neural network giving the conclusion part according to the premise of the rule. Such a system is applied to different morphology words for Arabic vowels recognition as a two-dimensional fuzzy implication presented in the form of linguistic features values. The system has been implemented on a real-time mini-computer and is now operational, the results concerning a multi-speaker corpus of continuous speech are also promising.
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How to cite this article:

A. Taleb and A. Benyettou, 2010. Arabic Vowels Fuzzy Neural Network Recognition. Journal of Applied Sciences, 10: 848-851.

DOI: 10.3923/jas.2010.848.851

URL: https://scialert.net/abstract/?doi=jas.2010.848.851

 
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